Biostatistical Methods for Clinical Research III

BIOSTAT 209 Spring 2019 (3 units)
Course Director: Chiung-Yu Huang, PhD
Department of Epidemiology & Biostatistics


This is the third course in the TICR Program biostatistics sequence, covering multi-predictor variable methods in the context of survival analysis and repeated measures analysis. Emphasis is on the practical and proper use of statistical methodology and its interpretation. The statistics package STATA will be used throughout the course.

At the end of the course, students will be able to:

  • Understand the basics of survival analysis;
  • Apply Cox regression in multiple predictor variable settings;
  • Understand the basic concepts of repeated measures data;
  • Apply multiple predictor regression in the repeated measures setting; and
  • Perform and summarize the results of a data analysis.

Designing Clinical Research (EPI 202) and Biostatistical Methods II (BIOSTAT 208). Exceptions to these prerequisites may be made with the consent of the Course Director, space permitting.

Course Director:

Chiung-Yu Huang, PhD

Lecturer: Charles McCulloch, PhD
Teaching Assistants:

Kristina Van Dang, MPH


Chloe Eng, MSPH

  1. Lectures: Tuesdays, 10:30 AM to 12:00 PM, April 2 to May 14, and Thursday, 10:30 AM to 12:30 PM, April 25. Lecture recordings will be available online later in the day. To determine if you have sufficient bandwidth to view online lectures, please visit our demonstration site.
  2. Labs: Thursdays, 10:30 AM to 12:30 PM, April 4 to May 16
  3. Homework Review Sessions: Tuesdays, 12:00 to 1:00 PM, April 16 and May 2
  4. Project Presentations: Tuesdays, 10:00 AM to 1:00 PM, May 28 and June 4 and Thursdays, 10:30 AM to 1:00 PM, May 30 and June 6.

All course materials and handouts will be posted on the course's online syllabus.


Regression Methods in Biostatistics by Vittinghoff, Glidden, McCulloch, and Shiboski. Springer, 2012.

Stata Statistical Software (Stata Corporation, College Station, TX) will be used; version 13 will suffice for more than 95% of the course content and that a student can pass the course without upgrading to higher versions. A six-month student license for Stata/IC is the least expensive option that will be suitable to complete all course assignments, but Stata/SE is recommended for robust future use. The TICR Program has arranged for a discount for UCSF-affiliated personnel.

Books may be purchased either through the publisher or a variety of commercial venues (e.g.,


Grades will be based on 5 homework assignments (70%) and a data analysis project (30%). Late work is not accepted.

Information about project requirements can be found here.

Students not in full-year TICR Programs who satisfactorily pass all course requirements will, upon request, receive a Certificate of Course Completion.

UCSF Graduate Division Policy on Disabilities


This course is sponsored by the Training in Clinical Research (TICR) Program, and space is limited. Preference is given to UCSF-affiliated personnel. We regret that auditing in the classroom is not permitted, but most of the course materials (with the exception of videotapes, answer keys, examinations, and copyrighted documents) are freely available (without formal enrollment) on the course’s online syllabus. Many students can glean the majority of the course’s content from this free access, but, importantly, formal enrollment also provides access to faculty for questions and individual-level extension of the curriculum, a community of other engaged students for in-person real-time discussion, and personalized correction and feedback on homework and projects.

To enroll in this course, please fill out and submit the application below. Please see our fees page for cost information. The deadline for application is March 22, 2019. Only one application needs to be completed for all courses desired during the quarter.

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