Recent recorded grades — Spring 2018: 4.00 GPA, 100.0% A/AB (n=35 letter grades); Spring 2020: 4.00 GPA, 100.0% A/AB (n=28 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=14 letter grades). Includes jointly taught sections.
Introduction to Clinical Trials I
Introduction to Clinical Trials I covers design and analysis of clinical trials, including hypothesis definition, sample size, randomization, and statistical analysis for biomedical researchers.
Summary
Recent recorded grades — Spring 2024: 4.00 GPA, 100.0% A/AB (n=13 letter grades); Spring 2025: 3.80 GPA, 100.0% A/AB (n=15 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=14 letter grades).
What you’ll be able to do
Develop skills to critically review clinical trials literature
Formulate focused research questions, specific aims, and key outcomes
Recognize the strengths and weaknesses of alternative clinical trials designs and design components
Develop related technical skills, including basic sample size calculations and survival analysis
Write a clinical trial protocol with all its core components
Source: UW Guide 1· UW Guide 2
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapB M I/STAT 541
“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 2027Historical instructors & teaching patterns
RICHARD CHAPPELL is recorded teaching in Spring 2018, Spring 2020, Spring 2026. 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 |
|---|---|---|---|
| LEC 001 | Classroom Instruction | 0 / 20 | 0 |
| DIS 301 | Classroom Instruction | 0 / 20 | 0 |
| LEC 001 | Classroom Instruction | 0 / 20 | 0 |
| DIS 301 | Classroom Instruction | 0 / 20 | 0 |
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
Recent recorded grades — Spring 2024: 4.00 GPA, 100.0% A/AB (n=13 letter grades); Spring 2025: 3.80 GPA, 100.0% A/AB (n=15 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=14 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
- Hypotheses, effectiveness measures, sample size, randomization, data collection/monitoring, and statistical analysis.
- Research question formulation and defining specific aims and key outcomes.
- Evaluation of alternative clinical trial designs and components.
- Sample size calculations and survival analysis.
- Clinical trial protocol writing.
Skills
- Definition of hypotheses, measures of effectiveness, sample size, randomization, data collection and monitoring, and issues in statistical analysis.
- Formulating focused research questions, specific aims, and key outcomes.
- Recognizing strengths and weaknesses of alternative clinical trials designs and design components.
- Basic sample size calculations and survival analysis.
- Writing a clinical trial protocol with all its core components.
Grades
Latest available · Spring 2026— not enough history to project Spring 2027.
Grade distribution · % of letter grades
Grades over time
Through Spring 2026
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
Introduction to Clinical Trials I
Recorded 2026-10-14Introduction to Clinical Trials I
Recorded 2026-10-14Raw records
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]Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
No records available.
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
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