Statistical Methods for Epidemiology
Statistical methods for epidemiology covering case-control, cross-sectional, and cohort study designs, association measures, and logistic/Poisson regression.
Summary
Past student reviews · Richard Chappell
One student rated the difficulty as moderate, noting the professor was willing to work with every student outside of class.
What you’ll be able to do
Summarize key concepts of statistical methods in epidemiology study: study design, association, causation
Build parametric or semiparametric model for analyzing categorical data and survival data
Utilize model design tools for model performance assessment
Build semiparametric model for analyzing categorical data and survival data
Source: UW Guide 1· UW Guide 2
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapSTAT/MATH 310 or graduate/professional standing
- MATH/STAT 310
- graduate/professional standing
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Any of
- MATH/STAT 310
- graduate/professional standing
Professors
Spring 2027No instructors recorded for this selection.
Historical instructors & teaching patterns
RICHARD CHAPPELL is recorded teaching in Spring 2013, Spring 2014, Spring 2016, Spring 2022, Spring 2023, Spring 2025. Recorded history may be incomplete and does not establish a future schedule.
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Spring 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.
Meeting source records
No records available.
Student experience
the class
Past student reviews · Richard Chappell
Prof. Chappell was described as passionate and caring, sharing his enthusiasm for the material clearly with students.
Recent recorded grades — Spring 2022: 3.69 GPA, 81.0% A/AB (n=21 letter grades); Spring 2023: 3.94 GPA, 100.0% A/AB (n=25 letter grades); Spring 2025: 3.93 GPA, 95.7% A/AB (n=23 letter grades).
difficulty & workload
Past student reviews · Richard Chappell
One student rated the difficulty as moderate, noting the professor was willing to work with every student outside of class.
Past student reviews · Richard Chappell
A student found the professor very nice and highly recommended taking a class with him.
Topics
- Case-control, cross-sectional, and cohort study analysis
- Epidemiologic study design, measures of association, rates, contingency tables, logistic and Poisson regression
- Study design, association, and causation in epidemiology
- Parametric and semiparametric modeling for categorical and survival data
Skills
- Epidemiologic study design, measures of association, rates, contingency table methods, logistic and Poisson regression
- Building parametric and semiparametric models for categorical and survival data
- Model performance assessment using model design tools
Grades
Latest available · Spring 2025— not enough history to project Spring 2027.
Grade distribution · % of letter grades
Grades over time
Through Spring 2025
More grade details Grade mix, volume & source data
Not enough comparable courses for Spring 2027 in UW–Madison.
Sources & history
Catalog & offerings
Descriptions, prerequisites, and recorded course offerings.
Catalog observation history
Observations at scan time; dates do not imply when a catalog change took effect.
Selected offering source records
No offering records for the selected term.
Raw records
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Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "Qwen/Qwen3.8-27B",
"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "ab959b67233f5247788a9c56f2bf99ba5fe69f5edd0a79b188ef620a862a25ec",
"requirements_status": "needs_review",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}