Multivariate regression methods on four problems – including logistic regression, count data regression, time‐to‐event analysis, and repeated measures data. Focused on model interpretation, hypothesis testing, confidence interval, confounding, interaction, and model selection. Illustrated with real data sets and analysis assignments.
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