Regression Modeling Strategies

Frank E. Harrell, Jr.
Professor and Chair of the Department of Biostatistics, Vanderbilt University

Friday, April 29, 2005
8:30-5:00pm
at
California State University, Long Beach
Pyramid

Abstract

Regression models are frequently used to develop diagnostic, prognostic, and health resource utilization models in clinical, health services, outcomes, pharmacoeconomic, and epidemiologic research, and in a multitude of non-health-related areas. Regression models are also used to adjust for patient heterogeneity in randomized clinical trials, to obtain tests that are more powerful and valid than unadjusted treatment comparisons. The morning sessions will cover modeling and model validation methods; the afternoon sessions will cover the overall modeling strategy, examples of displaying effects of predictors and of presenting models graphically to non-statisticians, and case studies.

The methods covered in this course will apply to almost any regression model, including ordinary least squares, logistic regression models, and survival models.

Click here for full abstract (pdf).

Professor Harrell

Dr. Harrell is Professor and Chair of the Department of Biostatistics in the School of Medicine at Vanderbilt University in Nashville, Tennessee. He received his Ph.D. in biostatistics from the University of North Carolina, Chapel Hill in 1979, where he studied under P.K. Sen. Dr. Harrell has been involved in statistical computing since 1969 and is the author of many R/S-Plus functions and SAS procedures. Since 1973 he has been involved in medical applications of statistics, especially in the area of survival analysis and clinical prediction modeling. He is the author of the book on which the course is based, Regression Modeling Strategies. He is an editorial consultant for the Journal of Clinical Epidemiology, is on the editorial board of Statistics in Medicine, is co-managing editor of the new journal Health Services and Outcomes Research Methodology, and is a consultant to FDA.

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