Keyword: *import

2013 (1)
A Sparse-Group Lasso. Simon, N.; Friedman, J.; Hastie, T.; and Tibshirani, R. J Comp Graph Stat, 22(2):231-245, 2013.
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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.; and METEOR study group J Clin Epi, 65(6):686-695, 2012.
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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.; and Others J Clin Epi, 63:638-646, 2010. erratum 63:809;2010 (bug in SAS PROC)
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Bootstrap-Based Methods for Estimating Standard Errors in Cox's Regression Analyses of Clustered Event Times. Xiao, Y. and Abrahamowicz, M. Stat Med, 29:915-923, 2010.
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2009 (1)
The BUGS Project: Evolution, Critique and Future Directions (with Discussion). Lunn, D.; Spiegelhalter, D.; Thomas, A.; and Best, N. Stat Med, 28:3049-3082, 2009.
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2008 (1)
Graphical Approaches to the Analysis of Safety Data from Clinical Trials. Amit, O.; Heiberger, R. M.; and Lane, P. W. Pharm Stat, 7:20-35, 2008.
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2007 (2)
S-PLUS Guide to Statistics. Insightful Seattle, WA, 2007.
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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.; and Simon, R. Stat Med, 26:1102-1113, 2007.
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2006 (3)
A Comparison of Propensity Score Methods: A Case-Study Estimating the Effectiveness of Post-AMI Statin Use. Austin, P. C. and Mamdani, M. M. Stat Med, 25:2084-2106, 2006.
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Special Issue on Adaptive Design. Various Drug Info J, 40(4):421-473, 2006.
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Conditional Growth Charts (with Discussion). Wei, Y. and He, X. Appl Stat, 34:2069-2131, 2006.
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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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Group Sequential Clinical Trials for Longitudinal Data with Analyses Using Summary Statistics. Kittelson, J. M.; Sharples, K.; and Emerson, S. S. Stat Med, 24:2457-2475, 2005.
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Graphical Views of Suppression and Multicollinearity in Multiple Linear Regression. Friedman, L. and Wall, M. Am Statistician, 59:127-136, 2005.
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Generating Survival Times to Simulate Cox Proportional Hazards Models. Bender, R.; Augustin, T.; and Blettner, M. Stat Med, 24:1713-1723, 2005. errata 25:1978-1979
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2003 (3)
Adjusted Coefficients of Determination for Logistic Regression. Liao, J. G. and McGee, D. Am Statistician, 57:161-165, 2003.
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Sample Size: More than Calculations. Parker, R. A. and Berman, N. G. Am Statistician, 57:166-170, 2003.
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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.; and Strom, B. L. Am J Epi, 158:280-287, 2003.
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2002 (3)
Analysis of Longitudinal Data. Diggle, P. J.; Heagerty, P.; Liang, K.; and Zeger, S. L. Oxford University Press, Oxford UK, second edition, 2002.
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The Role of Covariates in Estimating Treatment Effects and Risk in Long-Term Clinical Trials. Ford, I. and Norrie, J. Stat Med, 21:2899-2908, 2002.
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Residual-based tree-structured survival analysis. Keleş, S. and Segal, M. R. Stat Med, 21:313–326, 2002.
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2001 (3)
Rank-Based Procedures for Linear Models: Applications to Pharmaceutical Science Data. Abebe, A.; Crimin, K.; McKean, J. W.; Haas, J. V.; and Vidmar, T. J. Drug Info J, 35:947-971, 2001.
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Data Management Procedures in the Asthma Clinical Research Network. Pogash, R. M.; Boehmer, S. J.; Forand, P. E.; Dyer, A.; and Kunselman, S. J. Controlled Clin Trials, 22:168S-180S, 2001.
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Paradigm Shifts in Clinical Trials Enabled by Information Technology. Marks, R.; Conlon, M.; and Ruberg, S. J. Stat Med, 20:2683-2696, 2001.
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2000 (4)
Measurement Errors and Uncertainties, 2nd Ed. Rabinovich, S. G. Springer-Verlag, 2000.
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Longitudinal Data Analysis of Continuous and Discrete Responses for Pre-Post Designs. Liang, K. and Zeger, S. L. Sankhyā, 62:134-148, 2000.
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Data Safety Monitoring Boards: A Brief Introduction (with Discussion). Wittes, J. Biopharm Rep ASA, 8(1):1-11, 2000.
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Repeated Measures in Clinical Trials: Simple Strategies for Analysis Using Summary Measures. Senn, S.; Stevens, L.; and Chaturvedi, N. Stat Med, 19:861-877, 2000.
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1999 (4)
Model search by bootstrap ''bumping''. Tibshirani, R. and Knight, K. J Comp Graph Stat, 8:671–686, 1999.
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The Evaluation of Multiple Clinical Endpoints, with Application to Asthma. Neuhauser, M.; Steinijans, V. W.; and Bretz, F. Drug Info J, 33:471-477, 1999.
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Nonparametric Statistical Methods. Hollander, M. and Wolfe, D. A. Wiley, second edition, 1999.
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Investigating Centre Effects in a Multi-Centre Clinical Trial of Superficial Bladder Cancer. Yamaguchi, T. and Ohashi, Y. Stat Med, 18:1961-1971, 1999.
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1997 (8)
Comparing Risk-Adjustment Methods for Provider Profiling. DeLong, E. R.; Peterson, E. D.; DeLong, D. M.; Muhlbaier, L. H.; Hackett, S.; and Mark, D. B. Stat Med, 16:2645-2664, 1997.
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Statistical Assessment of Ordinal Outcomes in Comparative Studies. Scott, S. C.; Goldberg, M. S.; and Mayo, N. E. J Clin Epi, 50:45-55, 1997.
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Probability Imputation Revisited for Prognostic Factor Studies. Schemper, M. and Heinze, G. Stat Med, 16:73-80, 1997.
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A Bayesian Perspective on the Bonferroni Adjustment. Westfall, P. H.; Johnson, W. O.; and Utts, J. M. Biometrika, 84:419-427, 1997.
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Validity and Efficiency of Approximation Methods for Tied Survival Times in Cox Regression. Hertz-Picciotto, I. and Rockhill, B. Biometrics, 53:1151-1156, 1997.
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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.; and Connors, A. F. New Horizons, 5:56-61, 1997.
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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.; and Lau, J. J Clin Epi, 50:401-410, 1997.
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Mixture Models for the Joint Distribution of Repeated Measures and Event Times. Hogan, J. W. and Laird, N. M. Stat Med, 16:239-257, 1997.
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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.; and Brown, W. V. J Clin Epi, 49:1353-1358, 1996.
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Statistical Considerations in the Design and Analysis of Community Intervention Trials. Donner, A. and Klar, N. J Clin Epi, 49:435-439, 1996.
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Graphing Statistics & Data. Wallgren, A.; Wallgren, B.; Persson, R.; Jorner, U.; and Haaland, J. Sage Publications, Thousand Oaks, 1996.
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Nonparametric Survival Estimation Using Prognostic Longitudinal Covariates. Murray, S. and Tsiatis, A. A. Biometrics, 52:137-151, 1996.
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A Tree-Based Method of Analysis for Prospective Studies. Zhang, H.; Holford, T.; and Bracken, M. B. Stat Med, 15:37-49, 1996.
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Statistical Reporting of Clinical Trials with Individual Changes from Allocated Treatment. White, I. R. and Pocock, S. J. Stat Med, 15:249-262, 1996.
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A Step-by-Step Recommendation for Sample Size Adjustment in Clinical Trials. Noursalehi, M. and Rogers, J. L. Drug Info J, 30:957-960, 1996.
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1995 (7)
Practical Methodology of Meta-Analyses (Overviews) Using Updated Individual Patient Data. Stewart, L. A. and Clarke, M. J. Stat Med, 14:2057-2079, 1995.
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Statistical Bases of Reference Values in Laboratory Medicine. Harris, E. K. and Boyd, J. C. Marcel Dekker, New York, 1995.
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Inference for Smooth Curves in Longitudinal Data with Application to an AIDS Clinical Trial. Wang, Y. and Taylor, J. M. G. Stat Med, 14:1205-1218, 1995.
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Bayes Factors. Kass, R. E. and Raftery, A. E. J Am Stat Assoc, 90:773-795, 1995.
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Problems with Instrumental Variables Estimation When the Correlation between the Instruments and the Endogenous Explanatory Variables Is Weak. Bound, J.; Jaeger, D. A.; and Baker, R. M. J Am Stat Assoc, 90:443-450, 1995.
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Model Inconsistency, Illustrated by the Cox Proportional Hazards Model. Ford, I.; Norrie, J.; and Ahmadi, S. Stat Med, 14:735-746, 1995.
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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.; and Wagner, D. P. Ann Int Med, 122:191-203, 1995.
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1994 (1)
Comparison of Chemotherapy and Bone Marrow Transplants Using Two Independent Clnical Databases. Messerer, D.; Neiss, A.; Horowitz, M. M.; Hoelzer, D.; and Gale, R. P. J Clin Epi, 47:1119-1126, 1994.
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1993 (4)
Bayesian Analysis of Binary Data from an Audit of Cervical Smears. Raab, G. M. and Elton, R. A. Stat Med, 12:2179-2189, 1993.
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Regression Models for Discrete Longitudinal Responses (with Discussion). Fitzmaurice, G. M.; Laird, N. M.; and Rotnitzky, A. G. Stat Sci, 8:284-309, 1993.
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A Log-Rank Test for Equivalence of Two Survivor Functions. Wellek, S. Biometrics, 49:877-881, 1993.
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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.; and Brennan, M. F. J Am Stat Assoc, 88:400-409, 1993.
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1992 (2)
Sequential Rank Tests with Repeated Measurements in Clinical Trials. Lee, J. W. and DeMets, D. L. J Am Stat Assoc, 87:136-142, 1992.
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A Consumer's Guide to Subgroup Analysis. Oxman, A. D. and Guyatt, G. H. Ann Int Med, 116:78-84, 1992.
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1991 (3)
A Nonparametric Method for Dealing with Mismeasured Covariate Data. Pepe, M. S. and Fleming, T. R. J Am Stat Assoc, 86:108-113, 1991.
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A Consequence of Omitted Covariates When Estimating Odds Ratios. Hauck, W. W.; Neuhaus, J. M.; Kalbfleisch, J. D.; and Anderson, S. J Clin Epi, 44:77-81, 1991.
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The Intellectual Health of Clinical Drug Evaluation. Sheiner, L. B. Clin Pharm Ther, 50:4-9, 1991.
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1990 (7)
Classical and Modern Regression with Applications. Myers, R. H. PWS-Kent, Boston, 1990.
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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.; and Pryor Am J Gastroent, 85:824-828, 1990.
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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.; and Williams, R. B. Am J Card, 66:179-182, 1990.
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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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The Restricted Cubic Spline Hazard Model. Herndon, J. E. and Harrell, F. E. Comm Stat Th Meth, 19:639-663, 1990.
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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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The Explained Variation in Proportional Hazards Regression (Correction in 81:631, 1994). Schemper, M. Biometrika, 77:216-218, 1990.
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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.; and Others JAMA, 261:2077-2086, 1989.
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A General Class of Nonparametric Tests for Survival Analysis. Jones MP, C. J. Biometrics, 45:157-170, 1989.
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The Analysis of Titration Studies in Phase III Clinical Trials. Shih, W.; Gould, A.; and Hwang, I. Stat Med, 8:583-591, 1989.
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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.; and Smith, A. F. M., editors, Bayesian Statistics, volume 3, pages 79-94. Oxford University Press, 1988.
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Kappa Coefficients in Epidemiology: An Appraisal of a Reappraisal. Kraemer, H. C. and Block, D. A. J Clin Epi, 41:959-968, 1988.
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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.; and Logeay, P. Stat Med, 7:983-995, 1988.
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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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The LOGIST Procedure. Harrell, F. E. and 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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A DataEase to SAS Interface. Harrell, F. E. and 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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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.; and Pryor, D. B. Ann Int Med, 106:53-55, 1987.
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A Simple Approximation for Calculating Sample Sizes for Detecting Linear Trend in Proportions. Nam, J. Biometrics, 43:701-705, 1987.
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A SAS Macro for Estimating Missing Values in Multivariate Data. Roberts, J. S. and 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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A Note on the Product Limit Estimator under Right Censoring and Left Truncation. Tsai, W. Y.; Jewell, N. P.; and Wang, M. C. Biometrika, 74:883-886, 1987.
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Meta-Analyses of Randomized Controlled Trials. Sacks, H. S.; Berrier, J.; Reitman, D.; Ancona-Berk, V. A.; and Chalmers, T. C. NEJM, 316:450-455, 1987.
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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.; and Blumenthal, J. A. Psychosom Med, 48:200-210, 1986.
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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.; and Pryor, D. B. Am J Card, 58:1181-1187, 1986.
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1985 (3)
Regression Models for Prognostic Prediction: Advantages, Problems, and Suggested Solutions. Harrell, F. E.; Lee, K. L.; Matchar, D. B.; and Reichert, T. A. Ca Trt Rep, 69:1071-1077, 1985.
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How Should Relative Changes Be Measured?. Törnqvist, L.; Vartia, P.; and Vartia, Y. O. Am Statistician, 39:43-46, 1985.
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Nomograms. Banks, J. In Kotz, S. and Johnson, N. L., editors, Encyclopedia of Statistical Sciences, volume 6. Wiley, New York, 1985.
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1984 (1)
How to Display Data Badly. Wainer, H. Am Statistician, 38:137-147, 1984.
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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.; and Rosati, R. A. Circ, 67:283-290, 1983.
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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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Comparing Survival Distributions: A Review for Nonstatisticians. II. Muenz, L. R. Ca Invest, 1:537-545, 1983.
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1980 (2)
Procedures for large regression problems requiring maximum likelihood estimation. Harrell, F. E.; Lee, K. L.; ; and 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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Nonfatal Myocardial Infarction in Medically Treated Patients with Coronary Artery Disease. Harris, P. J.; Harrell, F. E.; Lee, K. L.; and Rosati, R. A. Am J Card, 46:937-942, 1980.
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1979 (2)
Measures of Association for Cross-Classifications. Goodman, L. A. and Kruskal, W. H. Springer-Verlag, New York, 1979.
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Splines as a Useful and Convenient Statistical Tool. Smith, P. L. Am Statistician, 33:57-62, 1979.
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1978 (1)
International Encyclopedia of Statistics. Kruskal, W. H. and Tanur, J. M., editors The Free Press, New York, 1978.
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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.; and Smith, P. G. Brit J Cancer, 35:1-39, 1977.
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