Causal Inference, Surveys and Missing Data for Population Health

Covers modern statistical methods for incomplete data, including complex survey design, missing data analysis, and causal inference.

offering recorded3 credits
Recorded instructors · Fall 2026 Amy Cochran4.0/5

Summary

Lectures are small, with a median of 11 enrolled students in the recorded sections.

Section enrollment · Fall 2026 snapshot ↗

Grade history

average GPA
letter grades

No recorded grade history.

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Prerequisites

Course map

B M I/​POP HLTH 552,STAT/​F&W ECOL 572(or HORT 572 prior to Spring 2025),C&E SOC/​SOC 361, or ED PSYCH 761

This is a best-effort interpretation; check the catalog requirements above.

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Professors

Fall 2026
/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 4.67/5 from 9 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

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Historical instructors & teaching patterns

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Fall 2026

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SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction1 / 300
LEC 001Classroom Instruction20 / 300

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records

Student experience

the class

Overview of modern statistical methods for dealing with "incomplete" data, including the design and analysis of complex surveys, the analysis of missing data, and causal inference.

difficulty & workload

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Topics

  • Complex surveys, missing data, causal inference

Skills

  • Design and analysis of complex surveys, missing data analysis, and causal inference.

Grades

Instructor

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Sources & history

UW–Madison

Catalog & offerings

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Selected offering source records
BMI/POPHLTH 661 · Fall 2026

Causal Inference, Surveys and Missing Data for Population Health

Recorded 2026-09-07
BMI/POPHLTH 661 · Fall 2026

Causal Inference, Surveys and Missing Data for Population Health

Recorded 2026-09-07
Raw records
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    "title": "Causal Inference, Surveys and Missing Data for Population Health",
    "credits_min": 3,
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    "title": "Causal Inference, Surveys and Missing Data for Population Health",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
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Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Full model traces

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Model & dataset provenance
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