Biostatistical Methods for Clinical Research II

BIOSTAT 208 Winter 2021 (3 units)
Course Director: Steve Shiboski, PhD
Department of Epidemiology & Biostatistics


This is a second course in biostatistics, focusing on multi-predictor variable 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 predictor variables; and
  • Detect data limitations and their consequences.

Designing Clinical Research (EPI 202), and Biostatistical Methods I (BIOSTAT 200). 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

Lab Assistant:

Li Zhang, PhD

TeachingAssistants: Janet Chu, MD, MPH
  Caitlin Turner, MPH
  1. Lectures: Tuesdays: 10:30 AM to 12:00 PM, Jan. 5 to Mar. 16. 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. 7 to Mar. 18.
  3. Problem Review Sessions: Tuesdays, 12:00 PM to 12:50 PM, Jan. 26, Feb. 9, Feb. 23, Mar. 9.

The daily schedule of activities 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.

Stata Statistical Software (Stata Corporation, College Station, TX) will be used; version 13 or higher is acceptable. 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 sizeable discount for UCSF-affiliated personnel.

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


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 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 December 14, 2021. Only one application needs to be completed for all courses desired during the quarter.

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