Spring 2027

Statistical Methods for Clinical Trials

Covers statistical issues in clinical trial design, basic survival analysis, data collection, and sequential monitoring.

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Recorded instructors · Spring 2027 No instructors listed

Summary

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Recent recorded grades — Fall 2023: 3.43 GPA, 66.7% A/AB (n=21 letter grades); Fall 2024: 3.47 GPA, 71.0% A/AB (n=31 letter grades); Fall 2025: 3.62 GPA, 86.2% A/AB (n=29 letter grades).

Grade history

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average GPA
letter grades
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AB
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Prerequisites

Course map

STAT/​MATH 310 or graduate/professional standing

BMI/STAT 641 used by

“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

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Calendar & sections

Spring 2027

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Student experience

the class

Recent recorded grades — Fall 2023: 3.43 GPA, 66.7% A/AB (n=21 letter grades); Fall 2024: 3.47 GPA, 71.0% A/AB (n=31 letter grades); Fall 2025: 3.62 GPA, 86.2% A/AB (n=29 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Clinical trial design, survival analysis, data collection, and sequential monitoring.

Skills

  • Designing clinical trials with statistical considerations, performing basic survival analysis, collecting data, and implementing sequential monitoring.

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

More grade details Grade mix, volume & source data

Not enough comparable courses for Spring 2027 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

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Grade history

Recorded grade distributions by term, section, and instructor.

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Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
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": "0418708c7759bab3850feb73137364f14861e401886a73750ac27e7e4f3f3e38",
  "requirements_status": "needs_review",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}