Please Note: We are planning for 2022-2023 academic year course and program offerings to be based in-person in our facilities at the Mission Bay campus at UCSF.
The Summer Clinical Research Workshop includes four courses that are the starting point for all clinical research training at UCSF. These courses introduce the field of clinical research by providing instruction in designing of clinical research studies, collecting and managing clinical research data, and exploring data (including the emerging field of "big data"). For individuals who will participate in clinical research in a supportive capacity, the Workshop alone is sufficient training. For others desiring to be independent investigators, the Workshop serves as introductory material for the more advanced ATCR Certificate and Master's Degree in Clinical Research Program.
Objectives
To train emerging scientists in the skills needed to:
- Create a sound clinical research protocol
- Collect and manage clinical research data
- Explore clinical research data, including the emerging spectrum of "big data"
Prerequisites
None
Curriculum
Designing Clinical Research
This course provides instruction in developing a clinical, epidemiologic, or translational question and creating a concise protocol that includes a literature review, study design, subject sampling and recruitment, instruments and other measurement approaches, sample size, consent form, budget and timetable. Each trainee reviews and supports the work of colleagues. The course closely follows the textbook Designing Clinical Research, by S. Hulley and other TICR Program faculty, now in its fourth edition. The course is offered in a one month or two month version. The curriculum is the same in the two courses but the longer duration of the two month version allows for achievement of a more complete research proposal for scholars who intend to implement their projects in the coming year:
Designing Clinical Research (Two Month)
EPI 202 (M. Pletcher, Director)
Database Management Systems for Clinical Research
EPI 218 (M. Kohn, Director)
Instruction in choosing the appropriate data management system; design of research databases; options in data entry; form and report generation; computer security; and budgeting for data management personnel and equipment.
Opportunities and Challenges of Complex Biomedical Data: Introduction to the Science of "Big Data"
BIOSTAT 202 (A. Wolfe Scheffler, Director)
Instruction in use of statistical software for exploring and analyzing clinical research data. While the roles of spreadsheet and relational database programs will be discussed, the course will focus on the Stata statistical software package for analyzing and presenting data.
Introduction to Statistical Computing in Clinical Research (BIOSTAT 212)
BIOSTAT 212 (A. Venado Estrada, Director)
IInstruction in use of statistical software for exploring and analyzing clinical research data. While the roles of spreadsheet and relational database programs will be discussed, the course will focus on the STATA statistical software package for analyzing and presenting data.
Introduction to Computing in the R Software Environment
BIOSTAT 213 (S. Gennatas, Director)
Instruction in how to use R computer software, including how to import data files; assign and manipulate objects; prepare data for basic statistical analysis; generate graphs and tables; write functions for iterative application; generate reports using R Markdown; and become prepared to take advanced courses in data analysis which require computation and programming in R.
Scholars also might be interested in Responsible Conduct of Research.
Application
The application will open April 30, 2022, and is due July 15.
If you are applying to the ATCR or Master's Degree Programs, please do NOT also register for the Summer Clinical Workshop. If you are interested in The ATCR Program has a separate application that is due by May 2, 2022, and the Master's Degree Program has a separate application that is due by May 15, 2022.
Fees
The fees below are for 2022. Fees for subsequent years are subject to change.
| Course | UC Affiliation* | No UC Affiliation |
|---|---|---|
| Designing Clinical Research (EPI 202 or EPI 150.03) | $2150 | $3100 |
| Data Management Systems in Clinical Research (EPI 218) | $1750 | $2400 |
| Opportunities & Challenges of Complex Biomedical Data: Introduction to the Science of Big Data (BIOSTAT 202) | $3000 | $3600 |
| Introduction to Statistical Computing in Clinical Research (BIOSTAT 212) | $1800 | $2400 |
| Introduction to Programming for Health Data Science in R (BIOSTAT 213) | $1700 | $2500 |
* Concurrent enrollment in a UCSF/UC Berkeley (UCB)-sponsored residency or post-doctoral fellowship program that is recognized by the UCSF Office of Graduate Medical Education; or a registered student in one of the professional schools or graduate programs at UCSF/UCB (in a program other than the TICR Program); or individuals who hold full-time salaried UCSF/UCB faculty, academic or staff positions. Individuals will be asked to provide proof of UCSF/UCB status.
ATCR and MAS students use the Student Portal
Students taking individual courses:
Course Fees
How to pay (please read before applying)
Summer Course Schedule
Apply by July 11, 2022 for summer quarter
Fall quarter application available August 1, 2022
Only one application needs to be completed for all courses desired during the quarter.