Analysts who would like to be introduced to multiple imputation with regression models to handle missing and incomplete data. Biostatisticians, health services and outcomes researchers, and economists who need to study or predict health outcomes or resource utilization. This is a short course in two 3.5 hour segments. Then a default overall modeling strategy will be described. Then the freely available S-Plus Design library will be overviewed.
Design facilitates most of the steps of the modeling process.
The methods covered in this course will apply to almost any regression model, including ordinary least squares, logistic regression models, and survival models. 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 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. Participants will receive copies of the 180 slides that will be presented and a copy of the 500-page book manuscript on which the course is based, Regression Modeling Strategies written by the instructor. 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.