The UCSF Department of Epidemiology and Biostatistics is launching a series of new short-course modules, as part of a new program titled “Training in Reproducible Research on Aging for Social Science and Epidemiology (TRASE)." The roster for 2025 will include the following courses (SCROLL DOWN TO REGISTER):
- Introduction to Reproducibility - Core Concepts (Feb 2025)
- Reproducible Research Skills for Primary Data Collection in Social and Behavioral Research on Aging (March 2025)
- Data Analysis Skills for Reproducible Social and Behavioral Research on Aging (April 2025)
- Reproducible Research Skills for Evidence Synthesis (October 2025) REGISTER BELOW!!
TRASE aims to improve the reproducibility of research on health disparities and aging. The program will offer four short-courses (each can be taken independently) that cover different aspects of reproducible research, from conceptual to technical. The modules are designed for researchers and consumers of scientific research who want to learn how to evaluate, implement, collect, and integrate evidence in a transparent and rigorous way.
The modules are short (~3-6 days) and intensive, combining lectures (recorded or in-person), interactive activities, and hands-on exercises. Participants can choose to attend one or more modules depending on their needs and interests. The TRASE program leverages the expertise and experience of the UCSF faculty and staff who have successfully developed and delivered other training programs in this field.
Program Directors
- June Maylin Chan, DSc, Professor & Vice Chair, Education, Epidemiology & Biostatistics; Professor, Urology, UC San Francisco
- Maria Glymour, ScD, MS, Professor (affiliate), Epidemiology & Biostatistics, UC San Francisco; Professor & Chair, Epidemiology, Boston University
- Fei Jiang, PhD, MS, Associate Professor, Epidemiology & Biostatistics, UC San Francisco
Funding
National Institute of Aging/National Institutes of Health R25AG078149
Cost
Although these courses are free of charge, the same time, effort, and preparation contributes to the quality of each course. If you decide not to attend a course for which you have registered, the favor of your cancellation would be appreciated by e-mailing [email protected]
Reasonable Accomodation
UCSF welcomes everyone, including people with disabilities, to our events. To request reasonable accommodations for any of these courses, please email [email protected] as soon as possible.
TRASE COURSE REGISTRATION FOR 2025
Collapse the boxes below to access registration information for each course.
Introduction to Reproducibility - Core Concepts (Feb 2025) - CLOSED
Reproducible Research Skills for Primary Data Collection in Social and Behavioral Research on Aging (March 2025) - CLOSED
Data Analysis Skills for Reproducible Social and Behavioral Research on Aging (April 2025) - CLOSED
Reproducible Research Skills for Evidence Synthesis (October 2025) REGISTRATION NOW OPEN!
Reproducible Research Skills for Evidence Synthesis
REGISTER HERE FOR THIS MODULE BY SEPTEMBER 5, 2025
Course Intructor
- Dave V. Glidden, PhD, Professor, Epidemiology & Biostatistics
Teaching Assistant
- Cozie Gwaikolo, MD, MAS, PhD Student, Epidemiology & Biostatistics
Course Decription
This module provides essential tools for evaluating and integrating scientific evidence through systematic reviews and meta-analyses. It is designed for graduate students, postdoctoral fellows, clinicians in training, research staff, early career faculty, and science communicators with at least one year of graduate-level research training or equivalent experience.
Students will learn how to conduct systematic reviews and meta-analyses, understand the strengths and limitations of different study designs and data sources, and critically assess the assumptions underlying causal inferences. The course emphasizes methods to detect and address publication bias, evaluate treatment effect heterogeneity, and triangulate evidence to strengthen scientific conclusions. Additionally, it provides guidance on interpreting statistical findings, such as confidence intervals and p-values, and explores the role of pre-registration and reproducibility in research.
Learning Objectives
- Develop Reproducible skills for systematic reviews and meta-analysis
- Evaluate the quality and reproducibility of evidence across studies.
- Identify and test key assumptions through evidence triangulation.
- Understand and communicate statistical uncertainty and methodological limitations.
- Propose new research directions to fill critical gaps in the evidence base.
Pre-requisite skills
None.
Class Dates in October 2025 from 10:00 a.m. to 12 p.m. Pacific
Wednesday, October 1
Wednesday, October 8
Wednesday, October 22
Participation Format
Zoom only.
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