Thomas G. Stewart, PhD
Assistant Professor, Biostatistics
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.