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Methods II
BIOSTAT 233

Course Information

Description

BIOSTAT 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 Notes

Offered jointly with the School of Public Health as BST233.

School Faculty of Arts & Sciences
Credits 4
Cross Reg

Available for Harvard Cross Registration

Department Biostatistics
Course Component Lecture
Grading Basis FAS Letter Graded
Course Requirements Prerequisite: Biostatistics 232
General Education N/A
Quantitative Reasoning with Data N/A
Divisional Distribution Science & Engineering & Applied Science
Course Level Primarily for Graduate Students