Course Schedule and Catalog

Department: Statistics

Meeting: 9:25AM - 10:40AM TR (25-AUG-2025 - 5-DEC-2025) 

Part of Term: Full Term

Grade Mode: Standard Letter

Course Type: Lecture

Language of Instruction: Taught in English

Method of Instruction: Face to Face

Credit Hours: 3

 

Prerequisites: STAT 519 AND STAT 615

Section Max Enrollment: 12

Section Enrolled: 10

Enrollment data as of: 19-APR-2025 10:41PM

 

 

Final Exam: No Final Exam

 

Description: This course provides a comprehensive introduction to statistical designs used in clinical trials. It covers key concepts relevant to a biostatistician’s daily responsibilities in trial design, including different types of clinical trials (Phase I to Phase III), (adaptive) randomization methods, and sample size and power calculations. The course will also introduce commonly used design strategies in clinical trials, incorporating both frequentist and Bayesian approaches. Topics include adaptive dose-finding designs, group-sequential designs, sample size re-estimation, and sequential monitoring. Additionally, the course will cover advanced topics such as innovative designs for precision medicine, basket and platform trials, and trials utilizing complex endpoints. MD Anderson cancer trials will be used as motivating and illustrative examples throughout the course. By the end of the course, students are expected to be able to independently design standard clinical trials. No prior knowledge of biology or medicine is required, and basic Bayesian statistical concepts will be introduced.