Biostatistical Methods II

4.0 credits

Topics in logistic regression (grouped data, models for contingency tables, overdispersion, multicategory logit models); analysis of dependent data (linear mixed effects models, covariance pattern models, random coefficient models); missing data methods (direct likelihood methods, multiple imputation); analysis of time-to-event data (Kaplan-Meier estimator, log-rank test, Cox proportional hazards model, time-dependent covariates); evaluation of model assumptions; shrinkage estimation in regression; variable selection; nonparametric methods; bootstrap methods.