Course Information
Description
BST 233 is an intermediate-level graduate course in the analysis of continuous, categorical, and time-to-event response data, with a focus on regression modeling as a tool for data analysis. While most of the presentation will be from the frequentist perspective, estimation and inference from the Bayesian perspective will be also be presented for select topics. Specific topics include: Heteroskedastic continuous response data; Theory of generalized linear models; Analysis of binary response data; Analysis of count response data; Analysis of multinomial response data; Analysis of time-to-event response data; Basis methods.
Course Prerequisites: BST 230 and BST 232; or instructor's permission
School
Harvard Chan School
Credits
5
Cross Reg
Available for Harvard Cross Registration
Subject
Biostatistics
Grading Basis
HSPH Ordinal
Course Requirements
Prerequisite: BST 230 & BST 232
