Introduction to Generalized Linear Models
STAT 149
Subject & Catalog Number
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Course Information
Description
Sequel to Statistics 139, emphasizing common methods for analyzing continuous non-normal and categorical data. Topics include logistic regression, log-linear models, multinomial logit models, proportional odds models for ordinal data, Gamma and inverse-Gaussian models, over-dispersion, analysis of deviance, model selection and criticism, model diagnostics, and an introduction to non-parametric regression methods.
Course Notes
Examples will be drawn from several fields, particularly from biology and social sciences. For Spring 2026, STAT 149 D002 will meet in Maxwell-Dworkin 206.
School
Faculty of Arts & Sciences
Credits
4
Cross Reg
Available for Harvard Cross Registration
Department
Statistics
Course Component
Lecture
NOTE: This course requires additional sections; you will be prompted to choose secondary components during the Add to Cart process
Subject
Statistics
Grading Basis
FAS Letter Graded
General Education
N/A
Quantitative Reasoning with Data
Yes
Divisional Distribution
Science & Engineering & Applied Science
Course Level
For Undergraduate and Graduate Students
