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Biostatistical Methods for Clinical Research II
BIOSTAT 208 Winter 2018 (3 units)


This is a second course in biostatistics, focusing on multi-predictor methods, including multiple linear and multiple logistic regression. 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:

  • Describe the roles of descriptive versus inferential statistics;
  • Identify characteristics of the research question to help choose the appropriate analytic technique;
  • Describe techniques appropriate for handling a single outcome variable and multiple predictors; and
  • Detect data limitations and their consequences.

Designing Clinical Research (EPI 202), and Biostatistical Methods I (BIOSTAT 200) or Intro to Statistical Analysis (BIOSTAT 183). If BIOSTAT 200 has not been taken, evidence of knowledge of the use of Stata is required. Exceptions to these prerequisites may be made with the consent of the Course Director, space permitting.


Course Director: Steve Shiboski, PhD
Phone: 415-514-8032
email: steve@biostat.ucsf.edu
Lab Assistant: Li Zhang, PhD
email: Li.Zhang@ucsf.edu
Teaching Assistant: Ribka Amsalu, MD
email: Ribkaamsalu.Tessera@ucsf.edu
  Stephen Asiimwe, MD
email: asiimwesteve@gmail.com

  1. Lectures: Tuesdays: 10:30 AM to 12:00 PM, Jan. 9 to Mar. 20. 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, Jan. 11 to Mar. 22.

  3. Problem Review Sessions: Tuesdays, 12:00 PM to 12:50 PM, Jan. 30, Feb. 13, Feb. 27, Mar. 6.

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


Regression Methods in Biostatistics by E. Vittinghoff, D. Glidden, S. Shiboski, and C. McCulloch. Springer, 2012.

The statistical software package Stata (Stata Corporation, College Station, Texas) is used in the program. The TICR Program has arranged for a sizeable discount for UCSF-affiliated personnel via the Stata GradPlan program.

Books may be purchase either through the publisher or a variety of commercial venues (e.g., Amazon.com).


Grades will be based on five homework assignments (70%) and a final exam (30%). Late work is not accepted.

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. Please see our fees page for cost information. The deadline for application is December 22, 2017. Only one application needs to be completed for all courses desired during the quarter.

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