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Only one application needs to be completed for all courses desired during the quarter.
Deadline:
01/19/2027
Format:
In-person
Term Offered:
Winter
Overview
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. Alternatively, R code is provided for students who wish to use R software for their statistical computing to complete computer labs and assignments.
Course Details
The objectives for this course are for participants 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.
- Lectures: Tuesdays: 10:30 AM to 12:00 PM, Jan. 6 to Mar. 17. Lecture recordings will be available online later in the day.
- Labs: Thursdays: 10:30 AM to 12:30 PM, Jan. 8 to Mar. 19
- Problem Review Sessions: Tuesdays, 12:00 PM to 12:50 PM, Jan. 27, Feb. 10, Feb. 24, Mar. 10.
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: The statistical software package Stata (Stata Corporation, College Station, TX) is used throughout the TICR Program and is required for this course; version 16 or higher is acceptable. A six-month student license for Stata/BE is the least expensive option that will be suitable to complete all course assignments. For students intending to enroll in courses over 1-2 years, an annual or perpetual license are better long-term options. If your research requires working with more variables, you also may wish to consider Stata/SE. We recommend that you have a personal copy of Stata and bring it on a laptop for all course sessions. Stata may be purchased at a discount for UCSF faculty/staff and official UCSF Students. You must use your ucsf.edu email address to receive the discount. If you do not purchase your own copy of Stata, UCSF faculty/staff/students may request access to Stata through the UCSF Research Analysis Environment.
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.
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 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 $3,200
For Non-UC-Affiliated learners, the course fee is $4,400
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:
- 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.
- Lectures: Tuesdays: 10:30 AM to 12:00 PM, Jan. 6 to Mar. 17. Lecture recordings will be available online later in the day.
- Labs: Thursdays: 10:30 AM to 12:30 PM, Jan. 8 to Mar. 19
- Problem Review Sessions: Tuesdays, 12:00 PM to 12:50 PM, Jan. 27, Feb. 10, Feb. 24, Mar. 10.
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: The statistical software package Stata (Stata Corporation, College Station, TX) is used throughout the TICR Program and is required for this course; version 16 or higher is acceptable. A six-month student license for Stata/BE is the least expensive option that will be suitable to complete all course assignments. For students intending to enroll in courses over 1-2 years, an annual or perpetual license are better long-term options. If your research requires working with more variables, you also may wish to consider Stata/SE. We recommend that you have a personal copy of Stata and bring it on a laptop for all course sessions. Stata may be purchased at a discount for UCSF faculty/staff and official UCSF Students. You must use your ucsf.edu email address to receive the discount. If you do not purchase your own copy of Stata, UCSF faculty/staff/students may request access to Stata through the UCSF Research Analysis Environment.
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.
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 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 $3,200
For Non-UC-Affiliated learners, the course fee is $4,400
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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Aaron Scheffler, PhD, MS
Assistant 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.