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Only one application needs to be completed for all courses desired during the quarter.
Deadline:
03/27/2026
Format:
In-person
Term Offered:
Spring
Overview
This is the third course in the biostatistics methods 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.
Course Details
The objectives for this course are for participants 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.
Lectures: 90 minutes, held once a week. Lecture recordings will be available online later in the day.
Labs: 2 hours, held once a week.
Homework Review Sessions
Project Presentations
The syllabus for the quarter shows dates and times for all activities.
- 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 a student can pass the course without upgrading to higher versions. A six-month student license for Stata/IC is the least expensive option suitable for completing 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).
- R: The statistical computing language R is offered as a parallel option for completing computer labs and assignments in this course, though primary instruction and examples will be conducted in STATA.
- Other than textbooks, all course materials and handouts will be posted on the course's syllabus. The online syllabus is made available to enrolled students close to the start of the course.
Grades will be based on 5 homework assignments (65%), 6 quizzes (5%, due at 5 p.m. after each lab session), and a data analysis project (30%). Late work is not accepted.
Students not in full-year DEB Education Programs who satisfactorily pass all course requirements will, upon request, receive a Certificate of Course Completion.
Only UCSF students (defined as individuals enrolled in UCSF degree or certificate programs) will receive academic credit for courses. Official transcripts are available to UCSF students only. A Certificate of Course Completion will be available upon request to individuals who are not UCSF students and satisfactorily pass all course requirements.
For UC-Affiliated learners, the course fee is $3,300
For Non-UC-Affiliated learners, the course fee is $4,800
UC-Affiliation: Concurrent enrollment in a University of California-sponsored residency or post-doctoral fellowship program that is recognized by the Office of Graduate Medical Education; or a registered student in one of the professional schools or graduate programs at the University of California (in a program other than the TICR program); or individuals who hold full-time salaried University of California faculty, academic or staff positions. Please note: Individuals will be asked to provide proof of UC status.
The objectives for this course are for participants 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.
Lectures: 90 minutes, held once a week. Lecture recordings will be available online later in the day.
Labs: 2 hours, held once a week.
Homework Review Sessions
Project Presentations
The syllabus for the quarter shows dates and times for all activities.
- 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 a student can pass the course without upgrading to higher versions. A six-month student license for Stata/IC is the least expensive option suitable for completing 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).
- R: The statistical computing language R is offered as a parallel option for completing computer labs and assignments in this course, though primary instruction and examples will be conducted in STATA.
- Other than textbooks, all course materials and handouts will be posted on the course's syllabus. The online syllabus is made available to enrolled students close to the start of the course.
Grades will be based on 5 homework assignments (65%), 6 quizzes (5%, due at 5 p.m. after each lab session), and a data analysis project (30%). Late work is not accepted.
Students not in full-year DEB Education Programs who satisfactorily pass all course requirements will, upon request, receive a Certificate of Course Completion.
Only UCSF students (defined as individuals enrolled in UCSF degree or certificate programs) will receive academic credit for courses. Official transcripts are available to UCSF students only. A Certificate of Course Completion will be available upon request to individuals who are not UCSF students and satisfactorily pass all course requirements.
For UC-Affiliated learners, the course fee is $3,300
For Non-UC-Affiliated learners, the course fee is $4,800
UC-Affiliation: Concurrent enrollment in a University of California-sponsored residency or post-doctoral fellowship program that is recognized by the Office of Graduate Medical Education; or a registered student in one of the professional schools or graduate programs at the University of California (in a program other than the TICR program); or individuals who hold full-time salaried University of California faculty, academic or staff positions. Please note: Individuals will be asked to provide proof of UC status.
Meet the Faculty
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Chiung-Yu Huang, PhD, MS
Professor, Department of Epidemiology & Biostatistics
Email
How to Enroll
Whether you're exploring the field, enhancing your skills, or working toward a larger academic goal, most individual courses are open to everyone. Current learners enrolled in DEB Education programs have priority in enrollment for this course. Any extra spaces are available to non-DEB Education learners (i.e., those from the Institute for Global Health Sciences, School of Nursing, external groups, etc).
You’ll find details on course fees, how to apply and pay, and the full course schedule on the Course Enrollment & Payment page. Be sure you understand the enrollment policies and payment process before completing the enrollment form.
And remember: you only need to submit one form for all the new courses you want to take.