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Methods I
BST 232

Jointly Offered with: Faculty of Arts & Sciences as BIOSTAT 232

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 Note: Students requesting a Pass/Fail option must do all homework and take all exams. Enrollment in the Department of Biostatistics, or signature of instructor required; lab or section times to be announced at first meeting. Cross-listed: Harvard Chan School of Public Health students must register for Harvard Chan course.

School Harvard Chan School
Credits 5
Cross Reg

Available for Harvard Cross Registration

Department Biostatistics
Course Component Lecture
Instruction Mode In Person
Grading Basis HSPH Student Option (Ordinal, Pass/Fail)
Course Requirements Course Restricted: Students in the Biostatistics department Pre-Requisites: (BST 210 or BST 220) and BST 222 or permission of instructor