Frank E. Harrell, PhD
Professor, Biostatistics
Expert Biostatistics Advisor, FDA Center for Drug Evaluation and Research
The primary focus of Biostatistics II is the multivariable regression model which is the fundamental tool that researchers use for prediction, effect estimation, and hypothesis testing. This course covers the most commonly used regression models (linear, logistic, ordinal, time-to-event, and serial) plus general methods applicable to all regression models such as restricted cubic splines, bootstrapping, multiple imputations for missing data, model diagnostics, and validation. There is an emphasis on aspects related to clinical and translational study design.
Prerequisites:
Research project in progress with a cleaned dataset
MSCI 5009 Biostatistics I with R
OR
MSCI 5004 Introduction to Biostatistics AND MSCI 5004L Introduction to Biostatistics, R Laboratory
Spring [4]