2013 (1)

A Sparse-Group Lasso. Simon, N., Friedman, J., Hastie, T., & Tibshirani, R. *J Comp Graph Stat*, 22(2):231-245, 2013.

doi abstract bibtex

doi abstract bibtex

For high-dimensional supervised learning problems, often using problem-specific assumptions can lead to greater accuracy. For problems with grouped covariates, which are believed to have sparse effects both on a group and within group level, we introduce a regularized model for linear regression with l1 and l2 penalties. We discuss the sparsity and other regularization properties of the optimal fit for this model, and show that it has the desired effect of group-wise and within group sparsity. We propose an algorithm to fit the model via accelerated generalized gradient descent, and extend this model and algorithm to convex loss functions. We also demonstrate the efficacy of our model and the efficiency of our algorithm on simulated data. This article has online supplementary material.

@article{sim13spa, title = {A Sparse-Group Lasso}, volume = {22}, abstract = {For high-dimensional supervised learning problems, often using problem-specific assumptions can lead to greater accuracy. For problems with grouped covariates, which are believed to have sparse effects both on a group and within group level, we introduce a regularized model for linear regression with l1 and l2 penalties. We discuss the sparsity and other regularization properties of the optimal fit for this model, and show that it has the desired effect of group-wise and within group sparsity. We propose an algorithm to fit the model via accelerated generalized gradient descent, and extend this model and algorithm to convex loss functions. We also demonstrate the efficacy of our model and the efficiency of our algorithm on simulated data. This article has online supplementary material.}, number = {2}, journal = {J Comp Graph Stat}, doi = {10.1080/10618600.2012.681250}, author = {Simon, Noah and Friedman, Jerome and Hastie, Trevor and Tibshirani, Robert}, year = {2013}, pages = {231-245}, eprint = {http://www.tandfonline.com/doi/pdf/10.1080/10618600.2012.681250}, citeulike-article-id = {13265969}, citeulike-linkout-0 = {http://dx.doi.org/10.1080/10618600.2012.681250}, citeulike-linkout-1 = {http://www.tandfonline.com/doi/abs/10.1080/10618600.2012.681250}, posted-at = {2014-07-14 14:10:08}, priority = {0}, annote = {sparse effects both on a group and within group levels;can also be considered special case of group lasso allowing overlap between groups} }

2012 (1)

Multiple Imputation of Missing Repeated Outcome Measurements Did Not Add to Linear Mixed-Effects Models. Peters, S. A., Bots, M. L., den Ruijter , H. M., Palmer, M. K., Grobbee, D. E., Crouse, J. R., O'Leary, D. H., Evans, G. W., Raichlen, J. S., Moons, K. G., Koffijberg, H., & METEOR study group *J Clin Epi*, 65(6):686-695, 2012.

doi abstract bibtex

doi abstract bibtex

To assess the added value of multiple imputation (MI) of missing repeated outcomes measures in longitudinal data sets analyzed with linear mixed-effects (LME) models. Data were used from a trial on the effects of Rosuvastatin on rate of change in carotid intima-media thickness (CIMT). The reference treatment effect was derived from a complete data set. Scenarios and proportions of missing values in CIMT measurements were applied and LME analyses were used before and after MI. The added value of MI, in terms of bias and precision, was assessed using the mean-squared error (MSE) of the treatment effects and coverage of the 95% confidence interval. The reference treatment effect was -0.0177mm/y. The MSEs for LME analysis without and with MI were similar in scenarios with up to 40% missing values. Coverage was large in all scenarios and was similar for LME with and without MI. Our study empirically shows that MI of missing end point data before LME analyses does not increase precision in the estimated rate of change in the end point. Hence, MI had no added value in this setting and standard LME modeling remains the method of choice.

@article{pet12mul, title = {Multiple Imputation of Missing Repeated Outcome Measurements Did Not Add to Linear Mixed-Effects Models.}, volume = {65}, abstract = {To assess the added value of multiple imputation (MI) of missing repeated outcomes measures in longitudinal data sets analyzed with linear mixed-effects (LME) models. Data were used from a trial on the effects of Rosuvastatin on rate of change in carotid intima-media thickness (CIMT). The reference treatment effect was derived from a complete data set. Scenarios and proportions of missing values in CIMT measurements were applied and LME analyses were used before and after MI. The added value of MI, in terms of bias and precision, was assessed using the mean-squared error (MSE) of the treatment effects and coverage of the 95\% confidence interval. The reference treatment effect was -0.0177mm/y. The MSEs for LME analysis without and with MI were similar in scenarios with up to 40\% missing values. Coverage was large in all scenarios and was similar for LME with and without MI. Our study empirically shows that MI of missing end point data before LME analyses does not increase precision in the estimated rate of change in the end point. Hence, MI had no added value in this setting and standard LME modeling remains the method of choice.}, number = {6}, journal = {J Clin Epi}, doi = {10.1016/j.jclinepi.2011.11.012}, author = {Peters, Sanne A. and Bots, Michiel L. and {den Ruijter}, Hester M. and Palmer, Mike K. and Grobbee, Diederick E. and Crouse, John R. and O'Leary, Daniel H. and Evans, Gregory W. and Raichlen, Joel S. and Moons, Karel G. and Koffijberg, Hendrik and {METEOR study group}}, year = {2012}, keywords = {serial-data,imputation,longitudinal,missing,mixed-effects-model,repeated-measures}, pages = {686-695}, citeulike-article-id = {13265934}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.jclinepi.2011.11.012}, posted-at = {2014-07-14 14:10:07}, priority = {0} }

2010 (2)

Correspondence Analysis Is a Useful Tool to Uncover the Relationships among Categorical Variables. Sourial, N., Wolfson, C., Zhu, B., Quail, J., Fletcher, J., Karunananthan, S., Bandeen-Roche, K., & Others *J Clin Epi*, 63:638-646, 2010. erratum 63:809;2010 (bug in SAS PROC)

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@article{sou10cor, title = {Correspondence Analysis Is a Useful Tool to Uncover the Relationships among Categorical Variables}, volume = {63}, journal = {J Clin Epi}, author = {Sourial, Nadia and Wolfson, Christina and Zhu, Bin and Quail, Jacqueline and Fletcher, John and Karunananthan, Sathya and {Bandeen-Roche}, Karen and {Others}}, year = {2010}, keywords = {graphics,data-reduction,categorical-data,multivariate-graphical-analysis,correspondence-analysis}, pages = {638-646}, citeulike-article-id = {13265819}, posted-at = {2014-07-14 14:10:05}, priority = {0}, note = {erratum 63:809;2010 (bug in SAS PROC)} }

Bootstrap-Based Methods for Estimating Standard Errors in Cox's Regression Analyses of Clustered Event Times. Xiao, Y. & Abrahamowicz, M. *Stat Med*, 29:915-923, 2010.

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@article{xia10boo, title = {Bootstrap-Based Methods for Estimating Standard Errors in {{Cox}}'s Regression Analyses of Clustered Event Times}, volume = {29}, journal = {Stat Med}, author = {Xiao, Yongling and Abrahamowicz, Michal}, year = {2010}, keywords = {survival-analysis,cluster-bootstrap,clustered-data,frailty,robust-variance-estimation,correlated-data,repeated-measurements,two-stage-bootstrap}, pages = {915-923}, citeulike-article-id = {13265811}, posted-at = {2014-07-14 14:10:05}, priority = {0}, annote = {two-step bootstrap overestimated variance for individual-level covariates} }

2009 (1)

The BUGS Project: Evolution, Critique and Future Directions (with Discussion). Lunn, D., Spiegelhalter, D., Thomas, A., & Best, N. *Stat Med*, 28:3049-3082, 2009.

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@article{lun09bug, title = {The {{BUGS}} Project: {{Evolution}}, Critique and Future Directions (with Discussion)}, volume = {28}, journal = {Stat Med}, author = {Lunn, David and Spiegelhalter, David and Thomas, Andrew and Best, Nicky}, year = {2009}, keywords = {bayesian-modeling,bugs,openbugs}, pages = {3049-3082}, citeulike-article-id = {13265785}, posted-at = {2014-07-14 14:10:04}, priority = {0} }

2008 (1)

Graphical Approaches to the Analysis of Safety Data from Clinical Trials. Amit, O., Heiberger, R. M., & Lane, P. W. *Pharm Stat*, 7:20-35, 2008.

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@article{ami08gra, title = {Graphical Approaches to the Analysis of Safety Data from Clinical Trials}, volume = {7}, journal = {Pharm Stat}, author = {Amit, Ohad and Heiberger, Richard M. and Lane, Peter W.}, year = {2008}, keywords = {graphics,pharmaceutical-safety,adverse-events,aes}, pages = {20-35}, citeulike-article-id = {13265689}, citeulike-linkout-0 = {http://www3.interscience.wiley.com/journal/114129388/abstract}, posted-at = {2014-07-14 14:10:02}, priority = {0} }

2007 (2)

S-PLUS Guide to Statistics. Insightful Seattle, WA, 2007.

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@book{spStatGuide, address = {{Seattle, WA}}, title = {S-{{PLUS Guide}} to {{Statistics}}}, author = {{Insightful}}, year = {2007}, organization = {Insightful Corporation}, citeulike-article-id = {13264896}, citeulike-linkout-0 = {http://www.insightful.com/support/documentation.asp}, posted-at = {2014-07-14 14:09:45}, priority = {0} }

Appropriateness of Some Resampling-Based Inference Procedures for Assessing Performance of Prognostic Classifiers Derived from Microarray Data. Lusa, L., McShane, L. M., Radmacher, M. D., Shih, J. H., Wright, G. W., & Simon, R. *Stat Med*, 26:1102-1113, 2007.

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@article{lus07app, title = {Appropriateness of Some Resampling-Based Inference Procedures for Assessing Performance of Prognostic Classifiers Derived from Microarray Data}, volume = {26}, journal = {Stat Med}, author = {Lusa, Lara and McShane, Lisa M. and Radmacher, Michael D. and Shih, Joanna H. and Wright, George W. and Simon, Richard}, year = {2007}, keywords = {gene-expression,resampling,cross-validation,microarray,classification,molecular-profiling}, pages = {1102-1113}, citeulike-article-id = {13265562}, posted-at = {2014-07-14 14:09:59}, priority = {0}, annote = {demonstrates how unbelievably naive it is to test the correlation between predictions from "THE cross-validated classifier" and the observed outcome} }

2006 (3)

A Comparison of Propensity Score Methods: A Case-Study Estimating the Effectiveness of Post-AMI Statin Use. Austin, P. C. & Mamdani, M. M. *Stat Med*, 25:2084-2106, 2006.

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@article{aus06com, title = {A Comparison of Propensity Score Methods: {{A}} Case-Study Estimating the Effectiveness of Post-{{AMI}} Statin Use}, volume = {25}, journal = {Stat Med}, author = {Austin, Peter C. and Mamdani, Muhammad M.}, year = {2006}, keywords = {propensity-score,mi,acute-myocardial-infarction,pharmacoepidemiology,residual-confounding,statins}, pages = {2084-2106}, citeulike-article-id = {13265481}, posted-at = {2014-07-14 14:09:57}, priority = {0}, annote = {propensity adjustment using covariate adjustment;effect on hypothesis tests, relative and absolute effects;residual confounding remained after stratifying by quintiles of propensity;Q-Q plots were more sensitive for showing imbalances;non-collapsibility of odds ratios;matched pairs yielded estimates closer to the null because of this;allowing propensity effect on Y to be quadratic affected the result} }

Special Issue on Adaptive Design. Various *Drug Info J*, 40(4):421-473, 2006.

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@article{adapt06Des, title = {Special Issue on Adaptive Design}, volume = {40}, number = {4}, journal = {Drug Info J}, author = {{Various}}, year = {2006}, keywords = {adaptive-design,dose-response,implementation,logistics,seamless-ii-iii-designs,terminology}, pages = {421-473}, citeulike-article-id = {13265535}, posted-at = {2014-07-14 14:09:58}, priority = {0} }

Conditional Growth Charts (with Discussion). Wei, Y. & He, X. *Appl Stat*, 34:2069-2131, 2006.

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@article{wei06con, title = {Conditional Growth Charts (with Discussion)}, volume = {34}, journal = {Appl Stat}, author = {Wei, Ying and He, Xuming}, year = {2006}, keywords = {penalization,graphics,growth-charts}, pages = {2069-2131}, citeulike-article-id = {13265555}, posted-at = {2014-07-14 14:09:59}, priority = {0}, annote = {advantage of customizing growth curve by subject taking prior measurements and covariates into account;nice discussion of penalized vs. unpenalized splines by Carroll and Ruppert;nice graphics} }

2005 (4)

An Experimental Design for the Development of Adaptive Treatment Strategies. Murphy, S. A. *Stat Med*, 24:1455-1481, 2005.

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@article{mur05exp, title = {An Experimental Design for the Development of Adaptive Treatment Strategies}, volume = {24}, journal = {Stat Med}, author = {Murphy, S. A.}, year = {2005}, pages = {1455-1481}, citeulike-article-id = {13265517}, posted-at = {2014-07-14 14:09:58}, priority = {0} }

Group Sequential Clinical Trials for Longitudinal Data with Analyses Using Summary Statistics. Kittelson, J. M., Sharples, K., & Emerson, S. S. *Stat Med*, 24:2457-2475, 2005.

doi bibtex

doi bibtex

@article{kit05gro, title = {Group Sequential Clinical Trials for Longitudinal Data with Analyses Using Summary Statistics}, volume = {24}, journal = {Stat Med}, doi = {10.1002/sim.2127}, author = {Kittelson, John M. and Sharples, Katrina and Emerson, Scott S.}, year = {2005}, keywords = {rct,software,clinical-trials,serial-data,mixed-effects-model,summary-measures,area-under-curve,longitudinal-endpoint}, pages = {2457-2475}, citeulike-article-id = {13265434}, citeulike-linkout-0 = {http://dx.doi.org/10.1002/sim.2127}, posted-at = {2014-07-14 14:09:56}, priority = {0} }

Graphical Views of Suppression and Multicollinearity in Multiple Linear Regression. Friedman, L. & Wall, M. *Am Statistician*, 59:127-136, 2005.

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@article{fri05gra, title = {Graphical Views of Suppression and Multicollinearity in Multiple Linear Regression}, volume = {59}, journal = {Am Statistician}, author = {Friedman, Lynn and Wall, Melanie}, year = {2005}, keywords = {variable-selection,suppression,collinearity,enhancement,multiple-regression}, pages = {127-136}, citeulike-article-id = {13265412}, posted-at = {2014-07-14 14:09:56}, priority = {0}, annote = {"Horst (1941) ... gave the name 'suppressor variable' to an independent variable that (1) has no correlation with the outcome variable, but (2) is correlated with the other independent variable, and (3) increases the variance explained ... Darlington (1968) defined a suppressor variable as one that produces a negative 'beta weight' --- a regression coefficient for a variable in the standardized model---in the regression equation despite the fact that all correlations between the predictor and outcome variables are nonnegative.";graphical explanation of suppression} }

Generating Survival Times to Simulate Cox Proportional Hazards Models. Bender, R., Augustin, T., & Blettner, M. *Stat Med*, 24:1713-1723, 2005. errata 25:1978-1979

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@article{ben05gen, title = {Generating Survival Times to Simulate {{Cox}} Proportional Hazards Models}, volume = {24}, journal = {Stat Med}, author = {Bender, Ralf and Augustin, Thomas and Blettner, Maria}, year = {2005}, keywords = {simulation-setup,cox-model,censoring,simulating-survival-times}, pages = {1713-1723}, citeulike-article-id = {13265424}, posted-at = {2014-07-14 14:09:56}, priority = {0}, note = {errata 25:1978-1979} }

2003 (3)

Adjusted Coefficients of Determination for Logistic Regression. Liao, J. G. & McGee, D. *Am Statistician*, 57:161-165, 2003.

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@article{lia03adj, title = {Adjusted Coefficients of Determination for Logistic Regression}, volume = {57}, journal = {Am Statistician}, author = {Liao, J. G. and McGee, Dan}, year = {2003}, keywords = {predictive-accuracy,r2,overfitting,binary-response,association,bias-correction}, pages = {161-165}, citeulike-article-id = {13265346}, posted-at = {2014-07-14 14:09:54}, priority = {0}, annote = {motivation for adjusted R-squared;uses simulation to adjust for bias due to overfitting} }

Sample Size: More than Calculations. Parker, R. A. & Berman, N. G. *Am Statistician*, 57:166-170, 2003.

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@article{par03sam, title = {Sample Size: {{More}} than Calculations}, volume = {57}, journal = {Am Statistician}, author = {Parker, Robert A. and Berman, Nancy G.}, year = {2003}, keywords = {precision,accuracy,feasibility,detectable-difference,scientific-thinking}, pages = {166-170}, citeulike-article-id = {13265347}, posted-at = {2014-07-14 14:09:54}, priority = {0}, annote = {often better to compute the achievable precision for a study than pretending we are choosing the sample size scientifically and well} }

Comparison of Logistic Regression versus Propensity Score When the Number of Events Is Low and There Are Multiple Confounders. Cepeda, M. S., Boston, R., Farrar, J. T., & Strom, B. L. *Am J Epi*, 158:280-287, 2003.

doi abstract bibtex

doi abstract bibtex

The aim of this study was to use Monte Carlo simulations to compare logistic regression with propensity scores in terms of bias, precision, empirical coverage probability, empirical power, and robustness when the number of events is low relative to the number of confounders. The authors simulated a cohort study and performed 252,480 trials. In the logistic regression, the bias decreased as the number of events per confounder increased. In the propensity score, the bias decreased as the strength of the association of the exposure with the outcome increased. Propensity scores produced estimates that were less biased, more robust, and more precise than the logistic regression estimates when there were seven or fewer events per confounder. The logistic regression empirical coverage probability increased as the number of events per confounder increased. The propensity score empirical coverage probability decreased after eight or more events per confounder. Overall, the propensity score exhibited more empirical power than logistic regression. Propensity scores are a good alternative to control for imbalances when there are seven or fewer events per confounder; however, empirical power could range from 35% to 60%. Logistic regression is the technique of choice when there are at least eight events per confounder.

@article{cep03com, title = {Comparison of Logistic Regression versus Propensity Score When the Number of Events Is Low and There Are Multiple Confounders}, volume = {158}, abstract = {The aim of this study was to use Monte Carlo simulations to compare logistic regression with propensity scores in terms of bias, precision, empirical coverage probability, empirical power, and robustness when the number of events is low relative to the number of confounders. The authors simulated a cohort study and performed 252,480 trials. In the logistic regression, the bias decreased as the number of events per confounder increased. In the propensity score, the bias decreased as the strength of the association of the exposure with the outcome increased. Propensity scores produced estimates that were less biased, more robust, and more precise than the logistic regression estimates when there were seven or fewer events per confounder. The logistic regression empirical coverage probability increased as the number of events per confounder increased. The propensity score empirical coverage probability decreased after eight or more events per confounder. Overall, the propensity score exhibited more empirical power than logistic regression. Propensity scores are a good alternative to control for imbalances when there are seven or fewer events per confounder; however, empirical power could range from 35\% to 60\%. Logistic regression is the technique of choice when there are at least eight events per confounder.}, journal = {Am J Epi}, doi = {10.1093/aje/kwg115}, author = {Cepeda, M. S. and Boston, R. and Farrar, J. T. and Strom, B. L.}, year = {2003}, pages = {280-287}, eprint = {http://aje.oxfordjournals.org/content/158/3/280.full.pdf+html}, citeulike-article-id = {13265471}, citeulike-linkout-0 = {http://dx.doi.org/10.1093/aje/kwg115}, citeulike-linkout-1 = {http://aje.oxfordjournals.org/content/158/3/280.abstract}, posted-at = {2014-07-14 14:09:57}, priority = {0}, annote = {propensity score analysis has advantages to traditional outcome modeling in this case} }

2002 (3)

Analysis of Longitudinal Data. Diggle, P. J., Heagerty, P., Liang, K., & Zeger, S. L. Oxford University Press, Oxford UK, second edition, 2002.

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@book{diggle-longit, address = {{Oxford UK}}, edition = {second}, title = {Analysis of {{Longitudinal Data}}}, publisher = {{Oxford University Press}}, author = {Diggle, Peter J. and Heagerty, Patrick and Liang, Kung-Yee and Zeger, Scott L.}, year = {2002}, citeulike-article-id = {13265322}, posted-at = {2014-07-14 14:09:54}, priority = {0} }

The Role of Covariates in Estimating Treatment Effects and Risk in Long-Term Clinical Trials. Ford, I. & Norrie, J. *Stat Med*, 21:2899-2908, 2002.

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@article{for02rol, title = {The Role of Covariates in Estimating Treatment Effects and Risk in Long-Term Clinical Trials}, volume = {21}, journal = {Stat Med}, author = {Ford, Ian and Norrie, John}, year = {2002}, keywords = {rct,covariable-adjustment}, pages = {2899-2908}, citeulike-article-id = {13265297}, posted-at = {2014-07-14 14:09:53}, priority = {0}, annote = {adjusted and unadjusted models cannot both be right;illustrations with actual clinical trial data} }

Residual-based tree-structured survival analysis. Keleş, S. & Segal, M. R. *Stat Med*, 21:313–326, 2002.

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@article{kel02res, author = {Kele\c{s}, S\"{u}nd\"{u}z and Segal, Mark R.}, citeulike-article-id = {13265257}, journal = {Stat Med}, keywords = {cart, censored-data, log-rank-test, martingale-residuals, recursive-partitioning, residuals, survival-analysis, *import}, pages = {313--326}, posted-at = {2014-07-14 14:09:52}, priority = {0}, title = {{Residual-based tree-structured survival analysis}}, volume = {21}, year = {2002} }

2001 (3)

Rank-Based Procedures for Linear Models: Applications to Pharmaceutical Science Data. Abebe, A., Crimin, K., McKean, J. W., Haas, J. V., & Vidmar, T. J. *Drug Info J*, 35:947-971, 2001.

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@article{abe01ran, title = {Rank-Based Procedures for Linear Models: {{Applications}} to Pharmaceutical Science Data}, volume = {35}, journal = {Drug Info J}, author = {Abebe, Asheber and Crimin, Kimberly and McKean, Joseph W. and Haas, Joseph V. and Vidmar, Thomas J.}, year = {2001}, pages = {947-971}, citeulike-article-id = {13265223}, posted-at = {2014-07-14 14:09:52}, priority = {0}, annote = {Wilcoxon scores; robust models; R web interface; distribution-free; nonparametric; web-based software; statistical computing} }

Data Management Procedures in the Asthma Clinical Research Network. Pogash, R. M., Boehmer, S. J., Forand, P. E., Dyer, A., & Kunselman, S. J. *Controlled Clin Trials*, 22:168S-180S, 2001.

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@article{pog01dat, title = {Data Management Procedures in the {{Asthma Clinical Research Network}}}, volume = {22}, journal = {Controlled Clin Trials}, author = {Pogash, Rosanne M. and Boehmer, Susan J. and Forand, Pamela E. and Dyer, Anne-Marie and Kunselman, Susan J.}, year = {2001}, keywords = {data-quality,data-management-procedures,distributed-data-management,operations,phases}, pages = {168S-180S}, citeulike-article-id = {13265248}, posted-at = {2014-07-14 14:09:52}, priority = {0} }

Paradigm Shifts in Clinical Trials Enabled by Information Technology. Marks, R., Conlon, M., & Ruberg, S. J. *Stat Med*, 20:2683-2696, 2001.

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@article{mar01par, title = {Paradigm Shifts in Clinical Trials Enabled by Information Technology}, volume = {20}, journal = {Stat Med}, author = {Marks, Ron and Conlon, Michael and Ruberg, Stephen J.}, year = {2001}, keywords = {web,all-electronic-clinical-trial,data-management,multi-center-trial}, pages = {2683-2696}, citeulike-article-id = {13265237}, posted-at = {2014-07-14 14:09:52}, priority = {0} }

2000 (4)

Measurement Errors and Uncertainties, 2nd Ed. Rabinovich, S. G. Springer-Verlag, 2000.

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@book{rab00mea, title = {Measurement {{Errors}} and {{Uncertainties}}, 2nd Ed}, publisher = {{Springer-Verlag}}, author = {Rabinovich, S. G.}, year = {2000}, citeulike-article-id = {13265522}, posted-at = {2014-07-14 14:09:58}, priority = {0} }

Longitudinal Data Analysis of Continuous and Discrete Responses for Pre-Post Designs. Liang, K. & Zeger, S. L. *Sankhyā*, 62:134-148, 2000.

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@article{lia00lon, title = {Longitudinal Data Analysis of Continuous and Discrete Responses for Pre-Post Designs}, volume = {62}, journal = {Sankhy{\=a}}, author = {Liang, Kung-Yee and Zeger, Scott L.}, year = {2000}, keywords = {rct,clinical-trials,longitudinal-data,serial-data,repeated-measures,random-effects-model,change-score,ancova,change,pre-post-design}, pages = {134-148}, citeulike-article-id = {13265666}, posted-at = {2014-07-14 14:10:01}, priority = {0}, annote = {makes an error in assuming the baseline variable will have the same univariate distribution as the response except for a shift;baseline may have for example a truncated distribution based on a trial's inclusion criteria;if correlation between baseline and response is zero, ANCOVA will be twice as efficient as simple analysis of change scores;if correlation is one they may be equally efficient} }

Data Safety Monitoring Boards: A Brief Introduction (with Discussion). Wittes, J. *Biopharm Rep ASA*, 8(1):1-11, 2000.

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@article{wit00dat, title = {Data Safety Monitoring Boards: {{A}} Brief Introduction (with Discussion)}, volume = {8}, number = {1}, journal = {Biopharm Rep ASA}, author = {Wittes, Janet}, year = {2000}, keywords = {rct,blinding,dsmb,safety,apprentice-statistician}, pages = {1-11}, citeulike-article-id = {13265131}, posted-at = {2014-07-14 14:09:49}, priority = {0} }

Repeated Measures in Clinical Trials: Simple Strategies for Analysis Using Summary Measures. Senn, S., Stevens, L., & Chaturvedi, N. *Stat Med*, 19:861-877, 2000.

doi bibtex

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@article{sen00rep, title = {Repeated Measures in Clinical Trials: {{Simple}} Strategies for Analysis Using Summary Measures}, volume = {19}, journal = {Stat Med}, doi = {10.1002/(SICI)1097-0258(20000330)19:6\\\%3C861::AID-SIM407\\\%3E3.0.CO;2-F}, author = {Senn, Stephen and Stevens, Lynda and Chaturvedi, Nish}, year = {2000}, keywords = {teaching-mds,serial-data,auc,repeated-measures,summary-measures,slope}, pages = {861-877}, citeulike-article-id = {13265118}, citeulike-linkout-0 = {http://dx.doi.org/10.1002/(SICI)1097-0258(20000330)19:6%3C861::AID-SIM407%3E3.0.CO;2-F}, posted-at = {2014-07-14 14:09:49}, priority = {0} }

1999 (4)

Model search by bootstrap ''bumping''. Tibshirani, R. & Knight, K. *J Comp Graph Stat*, 8:671–686, 1999.

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@article{tib99mod, author = {Tibshirani, Robert and Knight, Keith}, citeulike-article-id = {13264964}, journal = {J Comp Graph Stat}, keywords = {*import}, pages = {671--686}, posted-at = {2014-07-14 14:09:46}, priority = {0}, title = {{Model search by bootstrap ''bumping''}}, volume = {8}, year = {1999} }

The Evaluation of Multiple Clinical Endpoints, with Application to Asthma. Neuhauser, M., Steinijans, V. W., & Bretz, F. *Drug Info J*, 33:471-477, 1999.

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@article{neu99eva, title = {The Evaluation of Multiple Clinical Endpoints, with Application to Asthma}, volume = {33}, journal = {Drug Info J}, author = {Neuhauser, Markus and Steinijans, Volker W. and Bretz, Frank}, year = {1999}, keywords = {multiple-endpoints,rct,alpha-adjustment}, pages = {471-477}, citeulike-article-id = {13264621}, posted-at = {2014-07-14 14:09:39}, priority = {0}, annote = {evaluation of rules such as Capizzzi and Zhang: "one endpoint must be significant at the 0.05 level and the other endpoint has to trend in the right direction (0.2 level)"} }

Nonparametric Statistical Methods. Hollander, M. & Wolfe, D. A. Wiley, second edition, 1999.

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@book{hollwolf, edition = {second}, title = {Nonparametric {{Statistical Methods}}}, publisher = {{Wiley}}, author = {Hollander, Myles and Wolfe, Douglas A.}, year = {1999}, citeulike-article-id = {13265373}, posted-at = {2014-07-14 14:09:55}, priority = {0} }

Investigating Centre Effects in a Multi-Centre Clinical Trial of Superficial Bladder Cancer. Yamaguchi, T. & Ohashi, Y. *Stat Med*, 18:1961-1971, 1999.

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@article{yam99inv, title = {Investigating Centre Effects in a Multi-Centre Clinical Trial of Superficial Bladder Cancer}, volume = {18}, journal = {Stat Med}, author = {Yamaguchi, Takuhiro and Ohashi, Yasuo}, year = {1999}, keywords = {penalized-partial-likelihood,treatment-by-center-interaction,cox-random-effects-model,mixed-effects,multi-center-rct,multi-site-rct}, pages = {1961-1971}, citeulike-article-id = {13265066}, posted-at = {2014-07-14 14:09:48}, priority = {0} }

1997 (8)

Comparing Risk-Adjustment Methods for Provider Profiling. DeLong, E. R., Peterson, E. D., DeLong, D. M., Muhlbaier, L. H., Hackett, S., & Mark, D. B. *Stat Med*, 16:2645-2664, 1997.

doi bibtex

doi bibtex

@article{del97com, title = {Comparing Risk-Adjustment Methods for Provider Profiling}, volume = {16}, journal = {Stat Med}, doi = {10.1002/(SICI)1097-0258(19971215)16:23\\\%3C2645::AID-SIM696\\\%3E3.0.CO;2-D}, author = {DeLong, Elizabeth R. and Peterson, Eric D. and DeLong, David M. and Muhlbaier, Lawrence H. and Hackett, Suzanne and Mark, Daniel B.}, year = {1997}, keywords = {random-effects,provider-profiling,multiple-comparisons,risk-adjustment,scorecard}, pages = {2645-2664}, citeulike-article-id = {13263988}, citeulike-linkout-0 = {http://dx.doi.org/10.1002/(SICI)1097-0258(19971215)16:23%3C2645::AID-SIM696%3E3.0.CO;2-D}, posted-at = {2014-07-14 14:09:26}, priority = {0}, annote = {random effects vs. fixed efects for providers} }

Statistical Assessment of Ordinal Outcomes in Comparative Studies. Scott, S. C., Goldberg, M. S., & Mayo, N. E. *J Clin Epi*, 50:45-55, 1997.

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@article{sco97sta, title = {Statistical Assessment of Ordinal Outcomes in Comparative Studies}, volume = {50}, journal = {J Clin Epi}, author = {Scott, Susan C. and Goldberg, Mark S. and Mayo, Nancy E.}, year = {1997}, keywords = {ordinal-response,ordinal-logistic-regression,proportional-odds,assessing-assumptions,continuation-ratio,sas-code}, pages = {45-55}, citeulike-article-id = {13264821}, posted-at = {2014-07-14 14:09:42}, priority = {0} }

Probability Imputation Revisited for Prognostic Factor Studies. Schemper, M. & Heinze, G. *Stat Med*, 16:73-80, 1997.

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@article{sch97pro, title = {Probability Imputation Revisited for Prognostic Factor Studies}, volume = {16}, journal = {Stat Med}, author = {Schemper, Michael and Heinze, Georg}, year = {1997}, keywords = {logistic-model,imputation,prostate-cancer-dataset}, pages = {73-80}, citeulike-article-id = {13264817}, posted-at = {2014-07-14 14:09:42}, priority = {0}, annote = {imputation of missing covariables using logistic model;comparison with multiple imputation;analysis of prostate cancer dataset} }

A Bayesian Perspective on the Bonferroni Adjustment. Westfall, P. H., Johnson, W. O., & Utts, J. M. *Biometrika*, 84:419-427, 1997.

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@article{wes97bay, title = {A {{Bayesian}} Perspective on the {{Bonferroni}} Adjustment}, volume = {84}, journal = {Biometrika}, author = {Westfall, Peter H. and Johnson, Wesley O. and Utts, Jessica M.}, year = {1997}, keywords = {bayesian-inference,multiplicity,multiple-comparisons}, pages = {419-427}, citeulike-article-id = {13265041}, posted-at = {2014-07-14 14:09:48}, priority = {0}, annote = {Bonferroni adjustment is consistent with prior which assumes that the probability that all null hypotheses is true is a constant (say 0.5) no matter how many hypotheses are tested; If priors for individual parameters are well calibrated there is no need for adjusting the prior to take into account other hypotheses being tested} }

Validity and Efficiency of Approximation Methods for Tied Survival Times in Cox Regression. Hertz-Picciotto, I. & Rockhill, B. *Biometrics*, 53:1151-1156, 1997.

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@article{her97val, title = {Validity and Efficiency of Approximation Methods for Tied Survival Times in {{Cox}} Regression}, volume = {53}, journal = {Biometrics}, author = {{Hertz-Picciotto}, Irva and Rockhill, Beverly}, year = {1997}, keywords = {simulation-setup,cox-model,breslow-approximation,discrete-failure-times,efron-approximation,tied-failure-times}, pages = {1151-1156}, citeulike-article-id = {13264290}, posted-at = {2014-07-14 14:09:32}, priority = {0} }

Prognoses of Seriously Ill Hospitalized Patients on the Days before Death: Implications for Patient Care and Public Policy. Lynn, J., Harrell, F. E., Cohn, F., Wagner, D., & Connors, A. F. *New Horizons*, 5:56-61, 1997.

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@article{lyn97pro, title = {Prognoses of Seriously Ill Hospitalized Patients on the Days before Death: {{Implications}} for Patient Care and Public Policy}, volume = {5}, journal = {New Horizons}, author = {Lynn, J. and Harrell, F. E. and Cohn, F. and Wagner, D. and Connors, A. F.}, year = {1997}, pages = {56-61}, citeulike-article-id = {13264553}, posted-at = {2014-07-14 14:09:37}, priority = {0} }

Combining Single Patient (N-of-1) Trials to Estimate Population Treatment Effects and to Evaluate Individual Patient Responses to Treatment. Zucker, D. R., Schmid, C. H., McIntosh, M. W., D'Agostino, R. B., Selker, H. P., & Lau, J. *J Clin Epi*, 50:401-410, 1997.

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@article{zuc97com, title = {Combining Single Patient ({{N}}-of-1) Trials to Estimate Population Treatment Effects and to Evaluate Individual Patient Responses to Treatment}, volume = {50}, journal = {J Clin Epi}, author = {Zucker, D. R. and Schmid, C. H. and McIntosh, M. W. and D'Agostino, R. B. and Selker, H. P. and Lau, J.}, year = {1997}, keywords = {bayesian-inference,hierarchical-model,multi-level-model,n-of-1-trials}, pages = {401-410}, citeulike-article-id = {13265083}, posted-at = {2014-07-14 14:09:48}, priority = {0} }

Mixture Models for the Joint Distribution of Repeated Measures and Event Times. Hogan, J. W. & Laird, N. M. *Stat Med*, 16:239-257, 1997.

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@article{hog97mix, title = {Mixture Models for the Joint Distribution of Repeated Measures and Event Times}, volume = {16}, journal = {Stat Med}, author = {Hogan, Joseph W. and Laird, Nan M.}, year = {1997}, keywords = {informative-censoring,longitudinal-data,repeated-measures,multiple-events,outcome-related-dropout}, pages = {239-257}, citeulike-article-id = {13264314}, posted-at = {2014-07-14 14:09:33}, priority = {0} }

1996 (7)

Dissent: Hyperlipidemia versus Iron Overload and Coronary Artery Disease: Yet More Arguments on the Cholesterol Debate. Weintraub, W. S., Wenger, N. K., Parthasarathy, S., & Brown, W. V. *J Clin Epi*, 49:1353-1358, 1996.

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@article{wei96res, title = {Dissent: {{Hyperlipidemia}} versus Iron Overload and Coronary Artery Disease: {{Yet}} More Arguments on the Cholesterol Debate}, volume = {49}, journal = {J Clin Epi}, author = {Weintraub, William S. and Wenger, Nanette K. and Parthasarathy, Sam and Brown, W. Virgil}, year = {1996}, keywords = {medical,review-of-studies-of-cholesterol-lowering}, pages = {1353-1358}, citeulike-article-id = {13265036}, posted-at = {2014-07-14 14:09:48}, priority = {0} }

Statistical Considerations in the Design and Analysis of Community Intervention Trials. Donner, A. & Klar, N. *J Clin Epi*, 49:435-439, 1996.

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@article{don96sta, title = {Statistical Considerations in the Design and Analysis of Community Intervention Trials}, volume = {49}, journal = {J Clin Epi}, author = {Donner, Allan and Klar, Neil}, year = {1996}, keywords = {study-design,multivariate,cluster-sampling}, pages = {435-439}, citeulike-article-id = {13264013}, posted-at = {2014-07-14 14:09:27}, priority = {0} }

Graphing Statistics & Data. Wallgren, A., Wallgren, B., Persson, R., Jorner, U., & Haaland, J. Sage Publications, Thousand Oaks, 1996.

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@book{wal96gra, address = {{Thousand Oaks}}, title = {Graphing {{Statistics}} \& {{Data}}}, publisher = {{Sage Publications}}, author = {Wallgren, Anders and Wallgren, Britt and Persson, Rolf and Jorner, Ulf and Haaland, Jan-Aage}, year = {1996}, keywords = {teaching-mds,graphics}, citeulike-article-id = {13265018}, posted-at = {2014-07-14 14:09:47}, priority = {0} }

Nonparametric Survival Estimation Using Prognostic Longitudinal Covariates. Murray, S. & Tsiatis, A. A. *Biometrics*, 52:137-151, 1996.

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@article{mur96non, title = {Nonparametric Survival Estimation Using Prognostic Longitudinal Covariates}, volume = {52}, journal = {Biometrics}, author = {Murray, Susan and Tsiatis, Anastasios A.}, year = {1996}, keywords = {study-design,surrogate-endpoint,multiple-events,intervening-event}, pages = {137-151}, citeulike-article-id = {13264612}, posted-at = {2014-07-14 14:09:38}, priority = {0} }

A Tree-Based Method of Analysis for Prospective Studies. Zhang, H., Holford, T., & Bracken, M. B. *Stat Med*, 15:37-49, 1996.

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@article{zha96tre, title = {A Tree-Based Method of Analysis for Prospective Studies}, volume = {15}, journal = {Stat Med}, author = {Zhang, Heping and Holford, Theodore and Bracken, Michael B.}, year = {1996}, keywords = {cart,handling-missing-predictors,surrogate-splits,tree-models}, pages = {37-49}, citeulike-article-id = {13265074}, posted-at = {2014-07-14 14:09:48}, priority = {0} }

Statistical Reporting of Clinical Trials with Individual Changes from Allocated Treatment. White, I. R. & Pocock, S. J. *Stat Med*, 15:249-262, 1996.

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@article{whi96sta, title = {Statistical Reporting of Clinical Trials with Individual Changes from Allocated Treatment}, volume = {15}, journal = {Stat Med}, author = {White, Ian R. and Pocock, Stuart J.}, year = {1996}, keywords = {study-design,treatment-allocation,dropouts,intention-to-treat,tdc,drop-ins}, pages = {249-262}, citeulike-article-id = {13265047}, posted-at = {2014-07-14 14:09:48}, priority = {0} }

A Step-by-Step Recommendation for Sample Size Adjustment in Clinical Trials. Noursalehi, M. & Rogers, J. L. *Drug Info J*, 30:957-960, 1996.

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@article{nou96ste, title = {A Step-by-Step Recommendation for Sample Size Adjustment in Clinical Trials}, volume = {30}, journal = {Drug Info J}, author = {Noursalehi, Mojtaba and Rogers, James L.}, year = {1996}, keywords = {rct,blinding,pharmaceutical,adaptive-study,sample-size-adjustment}, pages = {957-960}, citeulike-article-id = {13264633}, posted-at = {2014-07-14 14:09:39}, priority = {0} }

1995 (7)

Practical Methodology of Meta-Analyses (Overviews) Using Updated Individual Patient Data. Stewart, L. A. & Clarke, M. J. *Stat Med*, 14:2057-2079, 1995.

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@article{ste95pra, title = {Practical Methodology of Meta-Analyses (Overviews) Using Updated Individual Patient Data}, volume = {14}, journal = {Stat Med}, author = {Stewart, Lesley A. and Clarke, Michael J.}, year = {1995}, keywords = {meta-analysis,data-quality,literature-search,fte,time-requirements}, pages = {2057-2079}, citeulike-article-id = {13264903}, posted-at = {2014-07-14 14:09:45}, priority = {0} }

Statistical Bases of Reference Values in Laboratory Medicine. Harris, E. K. & Boyd, J. C. Marcel Dekker, New York, 1995.

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@book{har95sta, address = {{New York}}, title = {Statistical {{Bases}} of {{Reference Values}} in {{Laboratory Medicine}}}, publisher = {{Marcel Dekker}}, author = {Harris, Eugene K. and Boyd, James C.}, year = {1995}, keywords = {reference-ranges,clinical-chemistry,clinical-lab-data,reference-values}, citeulike-article-id = {13265290}, posted-at = {2014-07-14 14:09:53}, priority = {0}, annote = {"conventional reference limits will be replaced, this time by patient-specific predictive models and values. The effects of genetic mechanisms and environmental influences will be automatically reflected in individual serial records. As we mentioned, the problem of tranferrability will look especially large here, again putting very stringent demands on analytical accuracy"} }

Inference for Smooth Curves in Longitudinal Data with Application to an AIDS Clinical Trial. Wang, Y. & Taylor, J. M. G. *Stat Med*, 14:1205-1218, 1995.

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@article{wan95inf, title = {Inference for Smooth Curves in Longitudinal Data with Application to an {{AIDS}} Clinical Trial}, volume = {14}, journal = {Stat Med}, doi = {10.1002/sim.4780141106}, author = {Wang, Yongxiao and Taylor, Jeremy M. G.}, year = {1995}, keywords = {penalized-mle,bayesian-inference,rct,shrinkage,serial-data,pmle}, pages = {1205-1218}, citeulike-article-id = {13265022}, citeulike-linkout-0 = {http://dx.doi.org/10.1002/sim.4780141106}, posted-at = {2014-07-14 14:09:47}, priority = {0} }

Bayes Factors. Kass, R. E. & Raftery, A. E. *J Am Stat Assoc*, 90:773-795, 1995.

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@article{kas95bay, title = {Bayes Factors}, volume = {90}, journal = {J Am Stat Assoc}, author = {Kass, Robert E. and Raftery, Adrian E.}, year = {1995}, keywords = {predictive-accuracy,variable-selection,aic,bic,model-validation,complexity,akaike,schwarz}, pages = {773-795}, citeulike-article-id = {13264387}, posted-at = {2014-07-14 14:09:34}, priority = {0} }

Problems with Instrumental Variables Estimation When the Correlation between the Instruments and the Endogenous Explanatory Variables Is Weak. Bound, J., Jaeger, D. A., & Baker, R. M. *J Am Stat Assoc*, 90:443-450, 1995.

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@article{bou95pro, title = {Problems with Instrumental Variables Estimation When the Correlation between the Instruments and the Endogenous Explanatory Variables Is Weak}, volume = {90}, journal = {J Am Stat Assoc}, author = {Bound, John and Jaeger, David A. and Baker, Regina M.}, year = {1995}, keywords = {instrumental-variables,confounding}, pages = {443-450}, citeulike-article-id = {13263786}, posted-at = {2014-07-14 14:09:23}, priority = {0} }

Model Inconsistency, Illustrated by the Cox Proportional Hazards Model. Ford, I., Norrie, J., & Ahmadi, S. *Stat Med*, 14:735-746, 1995.

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@article{for95mod, title = {Model Inconsistency, Illustrated by the {{Cox}} Proportional Hazards Model}, volume = {14}, journal = {Stat Med}, author = {Ford, Ian and Norrie, John and Ahmadi, Susan}, year = {1995}, keywords = {rct,covariable-adjustment,model-misspecification,model-identification,adjusted-estimates,baseline-imbalances}, pages = {735-746}, citeulike-article-id = {13264090}, posted-at = {2014-07-14 14:09:28}, priority = {0} }

The SUPPORT Prognostic Model: Objective Estimates of Survival for Seriously Ill Hospitalized Adults. Knaus, W. A., Harrell, F. E., Lynn, J., Goldman, L., Phillips, R. S., Connors, A. F., Dawson, N. V., Fulkerson, W. J., Califf, R. M., Desbiens, N., Layde, P., Oye, R. K., Bellamy, P. E., Hakim, R. B., & Wagner, D. P. *Ann Int Med*, 122:191-203, 1995.

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doi bibtex

@article{kna95sup, title = {The {{SUPPORT}} Prognostic Model: {{Objective}} Estimates of Survival for Seriously Ill Hospitalized Adults}, volume = {122}, journal = {Ann Int Med}, doi = {10.7326/0003-4819-122-3-199502010-00007}, author = {Knaus, W. A. and Harrell, F. E. and Lynn, J. and Goldman, L. and Phillips, R. S. and Connors, A. F. and Dawson, N. V. and Fulkerson, W. J. and Califf, R. M. and Desbiens, N. and Layde, P. and Oye, R. K. and Bellamy, P. E. and Hakim, R. B. and Wagner, D. P.}, year = {1995}, keywords = {teaching-mds,multivariable-modeling,survival-analysis,validation,reporting,model-validation,clinical-prediction,prognostic-model,spline-examples}, pages = {191-203}, citeulike-article-id = {13264411}, citeulike-linkout-0 = {http://dx.doi.org/10.7326/0003-4819-122-3-199502010-00007}, posted-at = {2014-07-14 14:09:34}, priority = {0} }

1994 (1)

Comparison of Chemotherapy and Bone Marrow Transplants Using Two Independent Clnical Databases. Messerer, D., Neiss, A., Horowitz, M. M., Hoelzer, D., & Gale, R. P. *J Clin Epi*, 47:1119-1126, 1994.

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@article{mes94com, title = {Comparison of Chemotherapy and Bone Marrow Transplants Using Two Independent Clnical Databases}, volume = {47}, journal = {J Clin Epi}, author = {Messerer, Dorle and Neiss, Albrecht and Horowitz, Mary M. and Hoelzer, Dieter and Gale, Robert P.}, year = {1994}, keywords = {waiting-time-bias}, pages = {1119-1126}, citeulike-article-id = {13264595}, posted-at = {2014-07-14 14:09:38}, priority = {0} }

1993 (4)

Bayesian Analysis of Binary Data from an Audit of Cervical Smears. Raab, G. M. & Elton, R. A. *Stat Med*, 12:2179-2189, 1993.

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@article{raa93bay, title = {Bayesian Analysis of Binary Data from an Audit of Cervical Smears}, volume = {12}, journal = {Stat Med}, author = {Raab, Gillian M. and Elton, Robert A.}, year = {1993}, keywords = {shrinkage,binary-data,bayesian}, pages = {2179-2189}, citeulike-article-id = {13264720}, posted-at = {2014-07-14 14:09:40}, priority = {0} }

Regression Models for Discrete Longitudinal Responses (with Discussion). Fitzmaurice, G. M., Laird, N. M., & Rotnitzky, A. G. *Stat Sci*, 8:284-309, 1993.

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@article{fit93reg, title = {Regression Models for Discrete Longitudinal Responses (with Discussion)}, volume = {8}, journal = {Stat Sci}, author = {Fitzmaurice, Garrett M. and Laird, Nan M. and Rotnitzky, Andrea G.}, year = {1993}, keywords = {gee,maximum-likelihood,logistic-model-extensions,repeated-measures,categorical-data,robust-variance-estimation,sandwich-estimator}, pages = {284-309}, citeulike-article-id = {13264078}, posted-at = {2014-07-14 14:09:28}, priority = {0} }

A Log-Rank Test for Equivalence of Two Survivor Functions. Wellek, S. *Biometrics*, 49:877-881, 1993.

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@article{wel93log, title = {A Log-Rank Test for Equivalence of Two Survivor Functions}, volume = {49}, journal = {Biometrics}, author = {Wellek, Stefan}, year = {1993}, keywords = {maximum-survival-difference,risk-difference-vs-hazard-ratio}, pages = {877-881}, citeulike-article-id = {13265038}, posted-at = {2014-07-14 14:09:48}, priority = {0} }

On the Use of Cause-Specific Failure and Conditional Failure Probabilities: Examples from Clinical Oncology Data. Gaynor, J. J., Feuer, E. J., Tan, C. C., Wu, D. H., Little, C. R., Straus, D. J., Clarkson, D. D., & Brennan, M. F. *J Am Stat Assoc*, 88:400-409, 1993.

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@article{gay93use, title = {On the Use of Cause-Specific Failure and Conditional Failure Probabilities: {{Examples}} from Clinical Oncology Data}, volume = {88}, journal = {J Am Stat Assoc}, author = {Gaynor, Jeffrey J. and Feuer, Eric J. and Tan, Claire C. and Wu, Danny H. and Little, Claudia R. and Straus, David J. and Clarkson, Dayard D. and Brennan, Murray F.}, year = {1993}, keywords = {multiple-endpoints,survival-analysis,competing-risks,kaplan-meier,dependent-events}, pages = {400-409}, citeulike-article-id = {13264124}, posted-at = {2014-07-14 14:09:29}, priority = {0} }

1992 (2)

Sequential Rank Tests with Repeated Measurements in Clinical Trials. Lee, J. W. & DeMets, D. L. *J Am Stat Assoc*, 87:136-142, 1992.

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@article{lee92seq, title = {Sequential Rank Tests with Repeated Measurements in Clinical Trials}, volume = {87}, journal = {J Am Stat Assoc}, author = {Lee, J. W. and DeMets, D. L.}, year = {1992}, keywords = {nonparametrics,sequential-tests}, pages = {136-142}, citeulike-article-id = {13264486}, posted-at = {2014-07-14 14:09:36}, priority = {0} }

A Consumer's Guide to Subgroup Analysis. Oxman, A. D. & Guyatt, G. H. *Ann Int Med*, 116:78-84, 1992.

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@article{oxm92con, title = {A Consumer's Guide to Subgroup Analysis}, volume = {116}, journal = {Ann Int Med}, author = {Oxman, A. D. and Guyatt, G. H.}, year = {1992}, keywords = {teaching-mds,multiple-comparisons,subgroup-analysis}, pages = {78-84}, citeulike-article-id = {13264650}, posted-at = {2014-07-14 14:09:39}, priority = {0} }

1991 (3)

A Nonparametric Method for Dealing with Mismeasured Covariate Data. Pepe, M. S. & Fleming, T. R. *J Am Stat Assoc*, 86:108-113, 1991.

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@article{pep91, title = {A Nonparametric Method for Dealing with Mismeasured Covariate Data}, volume = {86}, journal = {J Am Stat Assoc}, author = {Pepe, M. S. and Fleming, T. R.}, year = {1991}, keywords = {maximum-likelihood,missing-data}, pages = {108-113}, citeulike-article-id = {13264664}, posted-at = {2014-07-14 14:09:39}, priority = {0} }

A Consequence of Omitted Covariates When Estimating Odds Ratios. Hauck, W. W., Neuhaus, J. M., Kalbfleisch, J. D., & Anderson, S. *J Clin Epi*, 44:77-81, 1991.

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@article{hau91, title = {A Consequence of Omitted Covariates When Estimating Odds Ratios}, volume = {44}, journal = {J Clin Epi}, author = {Hauck, W. W. and Neuhaus, J. M. and Kalbfleisch, J. D. and Anderson, S.}, year = {1991}, keywords = {general,confounding,odds-ratio,regression,omitted-covariable,missing-covariable}, pages = {77-81}, citeulike-article-id = {13264275}, posted-at = {2014-07-14 14:09:32}, priority = {0} }

The Intellectual Health of Clinical Drug Evaluation. Sheiner, L. B. *Clin Pharm Ther*, 50:4-9, 1991.

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@article{she91int, title = {The Intellectual Health of Clinical Drug Evaluation}, volume = {50}, journal = {Clin Pharm Ther}, doi = {10.1038/clpt.1991.97}, author = {Sheiner, Lewis B.}, year = {1991}, keywords = {bayesian-inference,teaching-mds,hypothesis-testing,rct,compliance,statistical-significance,reporting,clinical-trials,review}, pages = {4-9}, citeulike-article-id = {13264842}, citeulike-linkout-0 = {http://dx.doi.org/10.1038/clpt.1991.97}, posted-at = {2014-07-14 14:09:44}, priority = {0}, annote = {problems with traditional statistical approaches to drug evaluation;problems with under-emphasis of type II error} }

1990 (7)

Classical and Modern Regression with Applications. Myers, R. H. PWS-Kent, Boston, 1990.

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@book{mye90, address = {{Boston}}, title = {Classical and {{Modern Regression}} with {{Applications}}}, publisher = {{PWS-Kent}}, author = {Myers, Raymond H.}, year = {1990}, citeulike-article-id = {13264613}, posted-at = {2014-07-14 14:09:38}, priority = {0} }

Studies of Gastric Ulcer Disease by Community-Based Gastroenterologists. Brazer, S. R., Tyor, M. P., Pancetto, F. S., Nickl, N. J., Wildermann, N. M., Harrell, F. E., & Pryor *Am J Gastroent*, 85:824-828, 1990.

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@article{bra90stu, title = {Studies of Gastric Ulcer Disease by Community-Based Gastroenterologists}, volume = {85}, journal = {Am J Gastroent}, author = {Brazer, S. R. and Tyor, M. P. and Pancetto, F. S. and Nickl, N. J. and Wildermann, N. M. and Harrell, F. E. and {Pryor}}, year = {1990}, pages = {824-828}, citeulike-article-id = {13263793}, posted-at = {2014-07-14 14:09:23}, priority = {0} }

Effect of Type A Behavior on Exercise Test Outcome in Coronary Artery Disease. Siegel, W. C., Hlatky, M. A., Mark, D. B., Barefoot, J. C., Harrell, F. E., Pryor, D. B., & Williams, R. B. *Am J Card*, 66:179-182, 1990.

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@article{sie90eff, title = {Effect of Type {{A}} Behavior on Exercise Test Outcome in Coronary Artery Disease}, volume = {66}, journal = {Am J Card}, author = {Siegel, W. C. and Hlatky, M. A. and Mark, D. B. and Barefoot, J. C. and Harrell, F. E. and Pryor, D. B. and Williams, R. B.}, year = {1990}, pages = {179-182}, citeulike-article-id = {13264852}, posted-at = {2014-07-14 14:09:44}, priority = {0} }

Diagnostics for Assessing the Accurace of Normal Approximations in Exponential Family Nonlinear Models. Cook RD, T. C. L. *J Am Stat Assoc*, 85:770-777, 1990.

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@article{coo90dia, title = {Diagnostics for Assessing the Accurace of Normal Approximations in Exponential Family Nonlinear Models}, volume = {85}, journal = {J Am Stat Assoc}, author = {Cook RD, Tsai C. L.}, year = {1990}, keywords = {maximum-likelihood}, pages = {770-777}, citeulike-article-id = {13263918}, posted-at = {2014-07-14 14:09:25}, priority = {0} }

The Restricted Cubic Spline Hazard Model. Herndon, J. E. & Harrell, F. E. *Comm Stat Th Meth*, 19:639-663, 1990.

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@article{her90res, title = {The Restricted Cubic Spline Hazard Model}, volume = {19}, journal = {Comm Stat Th Meth}, author = {Herndon, James E. and Harrell, Frank E.}, year = {1990}, pages = {639-663}, citeulike-article-id = {13264288}, posted-at = {2014-07-14 14:09:32}, priority = {0} }

Shortcut Method to Calculate the Sample Size in Trials of Screening for Chronic Disease. Straatman *J Clin Epi*, 43:1261-1266, 1990.

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@article{str90sho, title = {Shortcut Method to Calculate the Sample Size in Trials of Screening for Chronic Disease}, volume = {43}, journal = {J Clin Epi}, author = {{Straatman}}, year = {1990}, keywords = {sample-size-estimation}, pages = {1261-1266}, citeulike-article-id = {13264915}, posted-at = {2014-07-14 14:09:45}, priority = {0} }

The Explained Variation in Proportional Hazards Regression (Correction in 81:631, 1994). Schemper, M. *Biometrika*, 77:216-218, 1990.

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@article{sch90, title = {The Explained Variation in Proportional Hazards Regression (Correction in 81:631, 1994)}, volume = {77}, journal = {Biometrika}, author = {Schemper, M.}, year = {1990}, pages = {216-218}, citeulike-article-id = {13264805}, posted-at = {2014-07-14 14:09:42}, priority = {0} }

1989 (3)

The Evolution of Medical and Surgical Therapy for Coronary Artery Disease. Califf, R. M., Harrell, F. E., Lee, K. L., Rankin, J. S., & Others *JAMA*, 261:2077-2086, 1989.

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@article{cal89, title = {The Evolution of Medical and Surgical Therapy for Coronary Artery Disease}, volume = {261}, journal = {JAMA}, author = {Califf, R. M. and Harrell, F. E. and Lee, K. L. and Rankin, J. S. and {Others}}, year = {1989}, pages = {2077-2086}, citeulike-article-id = {13263853}, posted-at = {2014-07-14 14:09:24}, priority = {0} }

A General Class of Nonparametric Tests for Survival Analysis. Jones MP, C. J. *Biometrics*, 45:157-170, 1989.

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@article{jon89, title = {A General Class of Nonparametric Tests for Survival Analysis}, volume = {45}, journal = {Biometrics}, author = {Jones MP, Crowley J.}, year = {1989}, keywords = {general,censored-data,survival-analysis-regression}, pages = {157-170}, citeulike-article-id = {13264366}, posted-at = {2014-07-14 14:09:33}, priority = {0} }

The Analysis of Titration Studies in Phase III Clinical Trials. Shih, W., Gould, A., & Hwang, I. *Stat Med*, 8:583-591, 1989.

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@article{shi89, title = {The Analysis of Titration Studies in Phase {{III}} Clinical Trials}, volume = {8}, journal = {Stat Med}, author = {Shih, Wj and Gould, Al and Hwang, Ik}, year = {1989}, keywords = {pharmaceutical}, pages = {583-591}, citeulike-article-id = {13264847}, posted-at = {2014-07-14 14:09:44}, priority = {0} }

1988 (6)

Multiple Comparisons, Multiple Tests, and Data Dredging: A Bayesian Perspective. Berry, D. A. In Bernardo, J. M., DeGroot, M. H., Lindley, D. V., & Smith, A. F. M., editors, *Bayesian Statistics*, volume 3, pages 79-94. Oxford University Press, 1988.

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@incollection{ber88mul, title = {Multiple Comparisons, Multiple Tests, and Data Dredging: {{A Bayesian}} Perspective}, volume = {3}, booktitle = {Bayesian {{Statistics}}}, publisher = {{Oxford University Press}}, author = {Berry, Donald A.}, editor = {Bernardo, J. M. and DeGroot, M. H. and Lindley, D. V. and Smith, A. F. M.}, year = {1988}, keywords = {bayesian-inference,multiple-comparisons,multiple-tests,data-dredging}, pages = {79-94}, citeulike-article-id = {13263748}, posted-at = {2014-07-14 14:09:22}, priority = {0}, annote = {if want to dredge data to generate hypotheses one still needs another dataset to test the hypotheses} }

Kappa Coefficients in Epidemiology: An Appraisal of a Reappraisal. Kraemer, H. C. & Block, D. A. *J Clin Epi*, 41:959-968, 1988.

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@article{kra88kap, title = {Kappa Coefficients in Epidemiology: {{An}} Appraisal of a Reappraisal}, volume = {41}, journal = {J Clin Epi}, author = {Kraemer, H. C. and Block, D. A.}, year = {1988}, keywords = {categorical-data}, pages = {959-968}, citeulike-article-id = {13264432}, posted-at = {2014-07-14 14:09:35}, priority = {0} }

Correspondence Analysis and Logistic Modelling: Complementary Use in the Analysis of a Health Survey among Nurses. Leclerc, A., Luce, D., Lert, F., Chastang, J. F., & Logeay, P. *Stat Med*, 7:983-995, 1988.

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@article{lec88cor, title = {Correspondence Analysis and Logistic Modelling: {{Complementary}} Use in the Analysis of a Health Survey among Nurses}, volume = {7}, journal = {Stat Med}, author = {Leclerc, A. and Luce, D. and Lert, F. and Chastang, J. F. and Logeay, P.}, year = {1988}, keywords = {multivariate-analysis,general,predictive-methods,data-reduction,scaling}, pages = {983-995}, citeulike-article-id = {13264478}, posted-at = {2014-07-14 14:09:36}, priority = {0} }

A New Probability Model for Determining Exact P-Values for 2x2 Contingency Tables When Comparing Binomial Proportions. Rice, W. R. *Biometrics*, 44:1-22, 1988.

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@article{ric88, title = {A New Probability Model for Determining Exact {{P}}-Values for 2x2 Contingency Tables When Comparing Binomial Proportions}, volume = {44}, journal = {Biometrics}, author = {Rice, W. R.}, year = {1988}, keywords = {binary-random-var,discriminant-analysis,logistic-model,statistical-computation-algorithms}, pages = {1-22}, citeulike-article-id = {13264732}, posted-at = {2014-07-14 14:09:41}, priority = {0} }

The LOGIST Procedure. Harrell, F. E. & Peterson, B. In *Changes and Enhancements to the SAS System, Release 5.18. Technical Report P-175*, pages 266-285. SAS Institute, Cary NC, 1988.

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@incollection{har88log, address = {{Cary NC}}, title = {The {{LOGIST Procedure}}}, booktitle = {Changes and {{Enhancements}} to the {{SAS System}}, {{Release}} 5.18. {{Technical Report P}}-175}, publisher = {{SAS Institute}}, author = {Harrell, F. E. and Peterson, B.}, year = {1988}, pages = {266-285}, citeulike-article-id = {13264247}, posted-at = {2014-07-14 14:09:31}, priority = {0} }

A DataEase to SAS Interface. Harrell, F. E. & Muhlbaier, L. H. In *Proceedings of the Thirteenth Annual Conference of the SAS User's Group International*, pages 170-174, Cary NC, 1988. SAS Institute.

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@inproceedings{har88dat, address = {{Cary NC}}, title = {A {{DataEase}} to {{SAS}} Interface}, booktitle = {Proceedings of the {{Thirteenth Annual Conference}} of the {{SAS User}}'s {{Group International}}}, publisher = {{SAS Institute}}, author = {Harrell, F. E. and Muhlbaier, L. H.}, year = {1988}, pages = {170-174}, citeulike-article-id = {13264246}, posted-at = {2014-07-14 14:09:31}, priority = {0} }

1987 (5)

Localizing Coronary Artery Obstructions with the Exercise Treadmill Test. Mark, D. B., Hlatky, M. A., Lee, K. L., Harrell, F. E., Califf, R. M., & Pryor, D. B. *Ann Int Med*, 106:53-55, 1987.

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@article{mar87loc, title = {Localizing Coronary Artery Obstructions with the Exercise Treadmill Test}, volume = {106}, journal = {Ann Int Med}, author = {Mark, D. B. and Hlatky, M. A. and Lee, K. L. and Harrell, F. E. and Califf, R. M. and Pryor, D. B.}, year = {1987}, pages = {53-55}, citeulike-article-id = {13264571}, posted-at = {2014-07-14 14:09:38}, priority = {0} }

A Simple Approximation for Calculating Sample Sizes for Detecting Linear Trend in Proportions. Nam, J. *Biometrics*, 43:701-705, 1987.

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@article{nam87, title = {A Simple Approximation for Calculating Sample Sizes for Detecting Linear Trend in Proportions}, volume = {43}, journal = {Biometrics}, author = {Nam, J.}, year = {1987}, keywords = {sample-size-estimation,binary-random-var,discriminant-analysis,logistic-model}, pages = {701-705}, citeulike-article-id = {13264615}, posted-at = {2014-07-14 14:09:39}, priority = {0} }

A SAS Macro for Estimating Missing Values in Multivariate Data. Roberts, J. S. & Capalbo, G. M. In *Proceedings of the Twelfth Annual SAS Users Group International Conference*, pages 939-941, Cary, NC, 1987. SAS Institute, Inc..

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@inproceedings{rob87sas, address = {{Cary, NC}}, title = {A {{SAS}} Macro for Estimating Missing Values in Multivariate Data}, booktitle = {Proceedings of the {{Twelfth Annual SAS Users Group International Conference}}}, publisher = {{SAS Institute, Inc.}}, author = {Roberts, James S. and Capalbo, Gina M.}, year = {1987}, keywords = {missing-data}, pages = {939-941}, citeulike-article-id = {13264737}, posted-at = {2014-07-14 14:09:41}, priority = {0} }

A Note on the Product Limit Estimator under Right Censoring and Left Truncation. Tsai, W. Y., Jewell, N. P., & Wang, M. C. *Biometrika*, 74:883-886, 1987.

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@article{tsa87not, title = {A Note on the Product Limit Estimator under Right Censoring and Left Truncation}, volume = {74}, journal = {Biometrika}, author = {Tsai, W. Y. and Jewell, N. P. and Wang, M. C.}, year = {1987}, keywords = {censored-data,left-truncation,kaplan-meier}, pages = {883-886}, citeulike-article-id = {13264975}, posted-at = {2014-07-14 14:09:46}, priority = {0} }

Meta-Analyses of Randomized Controlled Trials. Sacks, H. S., Berrier, J., Reitman, D., Ancona-Berk, V. A., & Chalmers, T. C. *NEJM*, 316:450-455, 1987.

doi bibtex

doi bibtex

@article{sac87met, title = {Meta-Analyses of Randomized Controlled Trials}, volume = {316}, journal = {NEJM}, doi = {10.1056/NEJM198702193160806}, author = {Sacks, H. S. and Berrier, J. and Reitman, D. and {Ancona-Berk}, V. A. and Chalmers, T. C.}, year = {1987}, keywords = {teaching-mds,rct,meta-analysis,publication-bias,quality-of-studies}, pages = {450-455}, citeulike-article-id = {13264783}, citeulike-linkout-0 = {http://dx.doi.org/10.1056/NEJM198702193160806}, posted-at = {2014-07-14 14:09:42}, priority = {0} }

1986 (2)

Psychosocial and Physical Predictors of Anginal Pain Relief with Medical Management. Williams, R. B., Haney, T. L., McKinnis, R. A., Harrell, F. E., Lee, K. L., Pryor, D. B., Califf, R. M., Kong, Y., Rosati, R. A., & Blumenthal, J. A. *Psychosom Med*, 48:200-210, 1986.

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@article{wil86psy, title = {Psychosocial and Physical Predictors of Anginal Pain Relief with Medical Management}, volume = {48}, journal = {Psychosom Med}, author = {Williams, R. B. and Haney, T. L. and McKinnis, R. A. and Harrell, F. E. and Lee, K. L. and Pryor, D. B. and Califf, R. M. and Kong, Y. and Rosati, R. A. and Blumenthal, J. A.}, year = {1986}, pages = {200-210}, citeulike-article-id = {13265050}, posted-at = {2014-07-14 14:09:48}, priority = {0} }

Prognostic Implications of Angiographically Normal and Insignificantly Narrowed Coronary Arteries. Papanicolaou, M. N., Califf, R. M., Hlatky, M. A., McKinnis, R. A., Harrell, F. E., Mark, D. B., McCants, B., Rosati, R. A., Lee, K. L., & Pryor, D. B. *Am J Card*, 58:1181-1187, 1986.

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@article{pap86pro, title = {Prognostic Implications of Angiographically Normal and Insignificantly Narrowed Coronary Arteries}, volume = {58}, journal = {Am J Card}, author = {Papanicolaou, M. N. and Califf, R. M. and Hlatky, M. A. and McKinnis, R. A. and Harrell, F. E. and Mark, D. B. and McCants, B. and Rosati, R. A. and Lee, K. L. and Pryor, D. B.}, year = {1986}, pages = {1181-1187}, citeulike-article-id = {13264652}, posted-at = {2014-07-14 14:09:39}, priority = {0} }

1985 (3)

Regression Models for Prognostic Prediction: Advantages, Problems, and Suggested Solutions. Harrell, F. E., Lee, K. L., Matchar, D. B., & Reichert, T. A. *Ca Trt Rep*, 69:1071-1077, 1985.

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@article{har85reg, title = {Regression Models for Prognostic Prediction: {{Advantages}}, Problems, and Suggested Solutions}, volume = {69}, journal = {Ca Trt Rep}, author = {Harrell, F. E. and Lee, K. L. and Matchar, D. B. and Reichert, T. A.}, year = {1985}, pages = {1071-1077}, citeulike-article-id = {13264238}, posted-at = {2014-07-14 14:09:31}, priority = {0} }

How Should Relative Changes Be Measured?. Törnqvist, L., Vartia, P., & Vartia, Y. O. *Am Statistician*, 39:43-46, 1985.

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doi bibtex

@article{tor85how, title = {How Should Relative Changes Be Measured?}, volume = {39}, journal = {Am Statistician}, doi = {10.1080/00031305.1985.10479385}, author = {T{\"o}rnqvist, L. and Vartia, P. and Vartia, Y. O.}, year = {1985}, keywords = {teaching-mds,change,measuring-change,percent-change,one-sample-problem}, pages = {43-46}, citeulike-article-id = {13264968}, citeulike-linkout-0 = {http://dx.doi.org/10.1080/00031305.1985.10479385}, posted-at = {2014-07-14 14:09:46}, priority = {0} }

Nomograms. Banks, J. In Kotz, S. & Johnson, N. L., editors, *Encyclopedia of Statistical Sciences*, volume 6. Wiley, New York, 1985.

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@incollection{ban85, address = {{New York}}, title = {Nomograms}, volume = {6}, booktitle = {Encyclopedia of {{Statistical Sciences}}}, publisher = {{Wiley}}, author = {Banks, J.}, editor = {Kotz, S. and Johnson, N. L.}, year = {1985}, citeulike-article-id = {13263724}, posted-at = {2014-07-14 14:09:21}, priority = {0} }

1984 (1)

How to Display Data Badly. Wainer, H. *Am Statistician*, 38:137-147, 1984.

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@article{wai84how, title = {How to Display Data Badly}, volume = {38}, journal = {Am Statistician}, doi = {10.1080/00031305.1984.10483186}, author = {Wainer, Howard}, year = {1984}, keywords = {teaching-mds,graphics,bad,examples}, pages = {137-147}, citeulike-article-id = {13265012}, citeulike-linkout-0 = {http://dx.doi.org/10.1080/00031305.1984.10483186}, posted-at = {2014-07-14 14:09:47}, priority = {0} }

1983 (3)

Outcome in One-Vessel Coronary Artery Disease. Califf, R. M., Tomabechi, Y., Lee, K. L., Phillips, H., Pryor, D. B., Harrell, F. E., Harris, P. J., Peter, R. H., Behar, V. S., Kong, Y., & Rosati, R. A. *Circ*, 67:283-290, 1983.

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@article{cal83out, title = {Outcome in One-Vessel Coronary Artery Disease}, volume = {67}, journal = {Circ}, author = {Califf, R. M. and Tomabechi, Y. and Lee, K. L. and Phillips, H. and Pryor, D. B. and Harrell, F. E. and Harris, P. J. and Peter, R. H. and Behar, V. S. and Kong, Y. and Rosati, R. A.}, year = {1983}, pages = {283-290}, citeulike-article-id = {13263846}, posted-at = {2014-07-14 14:09:24}, priority = {0} }

The DATACHK Procedure. Harrell, F. E. In *SUGI Supplemental Library User's Guide*, pages 35-37. SAS Institute, Cary NC, 1983.

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@incollection{har83dat2, address = {{Cary NC}}, title = {The {{DATACHK Procedure}}}, booktitle = {{{SUGI Supplemental Library User}}'s {{Guide}}}, publisher = {{SAS Institute}}, author = {Harrell, F. E.}, editor = {Joyner, S.}, year = {1983}, pages = {35-37}, citeulike-article-id = {13264231}, posted-at = {2014-07-14 14:09:31}, priority = {0} }

Comparing Survival Distributions: A Review for Nonstatisticians. II. Muenz, L. R. *Ca Invest*, 1:537-545, 1983.

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@article{mue83com, title = {Comparing Survival Distributions: {{A}} Review for Nonstatisticians. {{II}}}, volume = {1}, journal = {Ca Invest}, author = {Muenz, L. R.}, year = {1983}, keywords = {assessing-ph,cumulative-hazard-ratio-plots,graphics-methods}, pages = {537-545}, citeulike-article-id = {13264608}, posted-at = {2014-07-14 14:09:38}, priority = {0} }

1980 (2)

Procedures for large regression problems requiring maximum likelihood estimation. Harrell, F. E., Lee, K. L., , & McKinnis, R. A. In *Proceedings of the Fifth Annual Conference of the SAS Users' Group International*, pages 199–202, Cary NC, 1980. SAS Institute.

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@inproceedings{har80proc, address = {Cary NC}, author = {Harrell, F. E. and Lee, K. L. and {} and McKinnis, R. A.}, booktitle = {Proceedings of the Fifth Annual Conference of the SAS Users' Group International}, citeulike-article-id = {13264224}, keywords = {*import}, organization = {SAS Institute}, pages = {199--202}, posted-at = {2014-07-14 14:09:31}, priority = {0}, title = {{Procedures for large regression problems requiring maximum likelihood estimation}}, year = {1980} }

Nonfatal Myocardial Infarction in Medically Treated Patients with Coronary Artery Disease. Harris, P. J., Harrell, F. E., Lee, K. L., & Rosati, R. A. *Am J Card*, 46:937-942, 1980.

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@article{har80non, title = {Nonfatal Myocardial Infarction in Medically Treated Patients with Coronary Artery Disease}, volume = {46}, journal = {Am J Card}, author = {Harris, P. J. and Harrell, F. E. and Lee, K. L. and Rosati, R. A.}, year = {1980}, pages = {937-942}, citeulike-article-id = {13264221}, posted-at = {2014-07-14 14:09:31}, priority = {0} }

1979 (2)

Measures of Association for Cross-Classifications. Goodman, L. A. & Kruskal, W. H. Springer-Verlag, New York, 1979.

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@book{goo79, address = {{New York}}, title = {Measures of {{Association}} for {{Cross}}-{{Classifications}}}, publisher = {{Springer-Verlag}}, author = {Goodman, L. A. and Kruskal, W. H.}, year = {1979}, citeulike-article-id = {13264158}, posted-at = {2014-07-14 14:09:30}, priority = {0} }

Splines as a Useful and Convenient Statistical Tool. Smith, P. L. *Am Statistician*, 33:57-62, 1979.

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@article{smi79, title = {Splines as a Useful and Convenient Statistical Tool}, volume = {33}, journal = {Am Statistician}, author = {Smith, P. L.}, year = {1979}, pages = {57-62}, citeulike-article-id = {13264871}, posted-at = {2014-07-14 14:09:44}, priority = {0} }

1978 (1)

International Encyclopedia of Statistics. Kruskal, W. H. & Tanur, J. M., editors The Free Press, New York, 1978.

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@book{iestat, address = {{New York}}, title = {International {{Encyclopedia}} of {{Statistics}}}, publisher = {{The Free Press}}, editor = {Kruskal, William H. and Tanur, Judith M.}, year = {1978}, citeulike-article-id = {13265238}, posted-at = {2014-07-14 14:09:52}, priority = {0} }

1977 (1)

Design and Analysis of Randomized Clinical Trials Requiring Prolonged Observation of Each Patient. II. Analysis and Examples. Peto, R., Pike, M. C., Armitage, P., Breslow, N. E., Cox, D. R., Howard, S. V., Mantel, N., McPherson, K., Peto, J., & Smith, P. G. *Brit J Cancer*, 35:1-39, 1977.

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@article{pet77des, title = {Design and Analysis of Randomized Clinical Trials Requiring Prolonged Observation of Each Patient. {{II}}. {{Analysis}} and Examples}, volume = {35}, journal = {Brit J Cancer}, author = {Peto, R. and Pike, M. C. and Armitage, P. and Breslow, N. E. and Cox, D. R. and Howard, S. V. and Mantel, N. and McPherson, K. and Peto, J. and Smith, P. G.}, year = {1977}, keywords = {teaching-mds,study-design,survival-analysis,classic}, pages = {1-39}, citeulike-article-id = {13264675}, posted-at = {2014-07-14 14:09:40}, priority = {0} }