Applied Regression Analysis
BST 210
Subject & Catalog Number
Course Information
Description
Topics include model interpretation, model building, and model assessment for linear regression with continuous outcomes, logistic regression with binary outcomes, and proportional hazards regression with survival time outcomes. Specific topics include regression diagnostics, confounding and effect modification, goodness of fit, data transformations, splines and additive models, ordinal, multinomial, and conditional logistic regression, generalized linear models, overdispersion, Poisson regression for rate outcomes, hazard functions, and missing data. The course will provide students with the skills necessary to perform regression analyses and to critically interpret statistical issues related to regression applications in the public health literature.
Class Notes
THIS CLASS HAS PRIORITY ENROLLMENT
Priority Wave Groups
Wave 1 | PHS PhD, MPH (CLE), MPH (QM)
Wave 2 | Open Enrollment
Wave 3 | Open Enrollment
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Priority Wave Timing
Wave 1 | 1/8/2026 11:00 AM - 1/18/2026 11:59 PM
Wave 2 | 1/19/2026 12:00 AM - 1/21/2026 11:59 PM
Wave 3 | 1/22/2026 12:00 AM Enrollment Deadline (varies by session)
Any student who does not meet the Wave 1 or Wave 2 criteria can add themselves to the waitlist (if enrollment requirements are met) at any time during the enrollment period. At the beginning of each priority wave, students on the waitlist who meet the Wave’s criteria will be automatically enrolled into any remaining seats in the course (pending no time conflicts)
**Cross-Registrants and Non-Degree Students will be enrolled on a space available basis after the enrollment deadline for the course
Available for Harvard Cross Registration
