Current instructor

Mary Baumann

What students say

Original student reviews · all captured dates

No unambiguous review-profile match is available.

Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.

Classes with Mary Baumann

BMI/POPHLTH 552

Regression Methods for Population Health

4 credits

This course introduces primary statistical tools for epidemiology and health services research, covering logistic, linear, multinomial, and Poisson regression models for various outcome types.

Offering recorded · Spring 2027 · Sources

Mary Baumann

historical GPA · grades

Spring 2023–Spring 2026 · limited sample

Recorded teaching history

Distinct courses recorded per term

Explore courses taught by this instructor →
Browse recorded courses
TermCourseTitle
Spring 2027BMI/POPHLTH 552Regression Methods for Population Health
Fall 2026BMI 899Pre-dissertator Research

Teaching history may be incomplete. Course pages contain course-specific feedback and citations.

Instructor identity & provenance 
{
  "instructor_uid": "instructor_e5d5c185a04a2235ae0a87f8",
  "source": "enrollment",
  "source_instructor_id": "mmryan25",
  "identity_basis": "netid",
  "identity_status": "source_identified",
  "name": "Mary Baumann",
  "email": "MARY.R.BAUMANN@WISC.EDU",
  "first_observed_at": "2026-09-07 15:55:43.033547+00:00",
  "last_observed_at": "2026-10-14 17:50:09.728220+00:00",
  "current": true,
  "courses": [
    {
      "course_uid": "course_bc8b66a9d302c5aed1303634",
      "course_id": "BMI/POPHLTH 552",
      "title": "REGRESSION METHODS FOR POPULATION HEALTH",
      "credits_min": 4,
      "credits_max": 4,
      "gpa": 3.597
    }
  ],
  "revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "instructor_url": "/instructors/MARY_BAUMANN"
}