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Biostatistical Methods for Clinical Research III
BIOSTAT 209 Spring 2017 (3 units)


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: John Kornak, PhD
Phone: 415-514-8028
email: john.kornak@ucsf.edu
Lecturer: Charles McCulloch, PhD
email: chuck@biostat.ucsf.edu
Teaching Assistant: Natalie Engmann, MSc
email: natalie.engmann@ucsf.edu
Barbara Hamilton, MD
email: barbara.hamilton@ucsf.edu

  1. Lectures: Tuesdays, 10:30 AM to 12:00 PM, April 4 to May 16, and Thursday, 10:30 AM to 12:30 PM, April 27. Lecture recordings will be available online later in the day. To determine if you have sufficient bandwith to view online lectures, please visit our demonstration site.

  2. Labs: Thursdays, 10:30 AM to 12:30 PM, April 6 to May 18

  3. Homework Review Sessions: Tuesday, 12:00 to 1:00 PM, April 18 and April 25

  4. Project Presentations: Tuesdays, 10:00 AM to 1:00 PM, May 30 and June 6 and Thursdays, 10:00 AM to 1:00 PM, June 1 and June 8.

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 Stata 14. 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., Amazon.com).


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 open to a limited number of individuals outside of the ATCR and Master's programs. Preference is given to UCSF-affiliated personnel. We regret that auditing is not permitted. To apply for this course, please fill out and submit the application below. Cost and submission information are in the application.

To apply for this course, please fill out and submit the application below. Please see our fees page for cost information. The deadline for application is March 17, 2017. Only one application needs to be completed for all courses desired during the quarter.

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