Keyword: *import

2013 (1)
A Sparse-Group Lasso. Simon, N., Friedman, J., Hastie, T., & 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., & 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., & 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. & 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., & 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., & 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., & 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. & 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. & 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., & 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. & 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., & 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. & McGee, D. Am Statistician, 57:161-165, 2003.
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Sample Size: More than Calculations. Parker, R. A. & 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., & 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., & 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. & Norrie, J. Stat Med, 21:2899-2908, 2002.
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Residual-based tree-structured survival analysis. Keleş, S. & 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., & 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., & 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., & 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. & 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., & Chaturvedi, N. Stat Med, 19:861-877, 2000.
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1999 (4)
Model search by bootstrap ''bumping''. Tibshirani, R. & 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., & Bretz, F. Drug Info J, 33:471-477, 1999.
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Nonparametric Statistical Methods. Hollander, M. & 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. & 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., & 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., & Mayo, N. E. J Clin Epi, 50:45-55, 1997.
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Probability Imputation Revisited for Prognostic Factor Studies. Schemper, M. & 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., & 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. & 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., & 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., & 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. & 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., & 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. & Klar, N. J Clin Epi, 49:435-439, 1996.
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Graphing Statistics & Data. Wallgren, A., Wallgren, B., Persson, R., Jorner, U., & Haaland, J. Sage Publications, Thousand Oaks, 1996.
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Nonparametric Survival Estimation Using Prognostic Longitudinal Covariates. Murray, S. & 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., & 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. & 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. & 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. & Clarke, M. J. Stat Med, 14:2057-2079, 1995.
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Statistical Bases of Reference Values in Laboratory Medicine. Harris, E. K. & 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. & Taylor, J. M. G. Stat Med, 14:1205-1218, 1995.
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Bayes Factors. Kass, R. E. & 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., & 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., & 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., & 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., & 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. & 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., & 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., & 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. & 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. & 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. & 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., & 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., & 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., & 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. & 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., & 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., & 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., & 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. & 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., & 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. & 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. & 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., & 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. & 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., & 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., & 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., & 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., & 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., & Reichert, T. A. Ca Trt Rep, 69:1071-1077, 1985.
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How Should Relative Changes Be Measured?. Törnqvist, L., Vartia, P., & Vartia, Y. O. Am Statistician, 39:43-46, 1985.
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Nomograms. Banks, J. In Kotz, S. & 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., & 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., , & 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., & 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. & 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. & 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., & Smith, P. G. Brit J Cancer, 35:1-39, 1977.
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