Spring 2027

Theory and Methods of Longitudinal Data Analysis

Covers theory and methods for longitudinal data analysis, including repeated measures ANOVA, linear mixed models, GLMMs, and GEEs, with implementation in R or SAS.

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

Summary

1 / 3

Recent recorded grades — Fall 2023: 3.96 GPA, 100.0% A/AB (n=14 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=28 letter grades).

What you’ll be able to do

  • Analyze longitudinal data in a variety of settings and with a variety of outcome variables

  • Apply statistical methods in fitting longitudinal data models for addressing scientific questions

  • Perform longitudinal data analyses in statistical softwares such as R and/or SAS

  • Interpret and communicate the scientific meanings of the results to both statisticians and non-statisticians (such as clinicians and scientists)

Source: UW Guide 1 UW Guide 2

Grade history

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average GPA
letter grades
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Prerequisites

Course map

STAT 610

BMI/STAT 727

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Professors

Spring 2027

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Calendar & sections

Spring 2027

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Student experience

the class

Recent recorded grades — Fall 2023: 3.96 GPA, 100.0% A/AB (n=14 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=28 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Longitudinal data analysis
  • Repeated measures analysis of variance
  • Linear mixed models
  • Generalized linear mixed models
  • Generalized estimating equations
  • Statistical software implementation (R/SAS)

Skills

  • Repeated measures ANOVA, linear mixed models, GLMMs, and GEEs
  • Implementation of longitudinal methods in R or SAS
  • Interpretation of longitudinal data analyses

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

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AB
B
BC
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D
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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": "492f800156dbb582ae730a0e62298e605507f8d2f009e8035f938b614e0f0755",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}