Spring 2027

Advanced Regression Methods for Population Health

Advanced Regression Methods for Population Health extends regression analysis to observational data with clusters, longitudinal measurements, and propensity weights using mixed models, GLMs, and GEE.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 3

Recent recorded grades — Fall 2021: 3.35 GPA, 50.0% A/AB (n=10 letter grades); Fall 2024: 3.65 GPA, 90.0% A/AB (n=10 letter grades); Fall 2025: 3.66 GPA, 87.5% A/AB (n=16 letter grades).

What you’ll be able to do

  • Extend the knowledge of regression analysis beyond ordinary linear models

  • Describe the features of correlated data and their implications in drawing inference

  • Construct proper linear and generalized linear models for longitudinal and clustered data

  • Describe the assumptions needed for estimation and inference

  • Implement the inference procedures to solve real-world problems using statistical packages such as SAS and R

  • Use diagnostic tools to assess model fit

  • Interpret and present the analytic results to answer substantive questions

Source: UW Guide 1 UW Guide 2

Grade history

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average GPA
letter grades
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Prerequisites

Course map

POP HLTH/​B M I 552

BMI/POPHLTH 651

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Professors

Spring 2027

No instructors recorded for this selection.

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Calendar & sections

Spring 2027

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Student experience

the class

Recent recorded grades — Fall 2021: 3.35 GPA, 50.0% A/AB (n=10 letter grades); Fall 2024: 3.65 GPA, 90.0% A/AB (n=10 letter grades); Fall 2025: 3.66 GPA, 87.5% A/AB (n=16 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Mixed linear models, generalized linear models, and GEE for clustered and longitudinal data
  • Regression with unequal variance, sampling, and propensity weights
  • Matrix notation and underlying mathematical/statistical principles

Skills

  • Constructing linear and generalized linear models for longitudinal and clustered data
  • Implementing inference procedures using SAS and R
  • Using diagnostic tools to assess model fit

Grades

Latest available · Fall 2025— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Fall 2025

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Sources & history

UW–Madison

Catalog & offerings

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Dataset & model

Recorded 2026-10-14

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Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "ab09c179e96855c58078f9f98c919cc8b4288975c9a3ede3f01b04affbc33bdf",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}