Methods I
BIOSTAT 232
Subject & Catalog Number
Jointly Offered with:
Harvard Chan School as BST 232
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Course Information
Description
Introductory course in the analysis of Gaussian and categorical data. The general linear regression model, ANOVA, robust alternatives based on permutations, model building, resampling methods (bootstrap and jackknife), contingency tables, exact methods, logistic regression.
Course Notes
Offered jointly with the School of Public Health as BST232.
School
Faculty of Arts & Sciences
Credits
4
Cross Reg
Available for Harvard Cross Registration
Department
Biostatistics
Course Component
Lecture
Subject
Biostatistics
Grading Basis
FAS Letter Graded
Course Requirements
Prerequisite: Biostatistics PhD Program
Exam/Final Deadline
Dec. 18, 2026
General Education
N/A
Quantitative Reasoning with Data
N/A
Divisional Distribution
Science & Engineering & Applied Science
Course Level
Primarily for Graduate Students
