Program Overview

Program Details

The program details are as follows:

Course Information

• Course Title: Applied Regression Analysis
• Course Number: BST 210
• Instructor: Jonathan Larson
• Term: 2025 Fall
• Duration: Full Term, Sept. 2, 2025 – Dec. 19, 2025
• Schedule:
  • Su: No class
  • M: 8:00am - 9:30am
  • T: 8:00am - 9:30am
  • W: 8:00am - 9:30am
  • Th: 8:00am - 9:30am
  • F: 8:00am - 9:30am
  • S: No class
• Class Number: 17676
• Enrollment: 58/76
• Waitlist: 0

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

• Priority Enrollment: This class has priority enrollment.
• Priority Wave Groups:
  • Wave 1: PHS PhD, MPH (CLE), MPH (QM)
  • Wave 2: Open Enrollment
  • Wave 3: Open Enrollment
• Priority Wave Timing:
  • Wave 1: 8/14/:00 AM - 8/24/:59 PM
  • Wave 2: 8/25/:00 AM - 8/27/:59 PM
  • Wave 3: 8/28/: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.

School and Department Information

• School: Harvard Chan School
• Department: Biostatistics
• Course Component: Lecture
• Instruction Mode: In Person
• Subject: Biostatistics
• Grading Basis: HSPH Student Option (Audit, Ordinal, Pass/Fail)
• Course Requirements: Prerequisite: ID201 or BST201 or (BST202 and BST203) or BST 206
• Credits: 5
• Cross Reg: Available for Harvard Cross Registration

Other Terms and Sessions

• 2026 Spring: Full Term