Biostatistical Methods for Clinical Research IV
This is a fourth course in statistics, covering advanced methods for building and evaluating regression models. The emphasis is on methods which cut across common families of regression models in biostatistics: predictor selection, model diagnostics and model comparison. The statistics package Stata will be used throughout the course.
Designing Clinical Research (EPI 202), Biostatistical Methods I (Biostat 200), Biostatistical Methods II (BIOSTAT 208) and III (BIOSTAT 209). Exceptions may be made with the consent of the course director, space permitting.
David Glidden, PhD
|Computer Laboratory Assistant:||
Zara Izadi, PharmD
1. Lectures: Tuesdays: 10:30 AM to 12:00 PM, Sept. 18 through Dec. 11.
2. Computer Laboratory Sessions: Tuesdays: 3:15 PM to 4:15 PM, Oct. 2, 16, 30, Nov. 13, and Dec. 4.
Regression Methods in Biostatistics by Vittinghoff et al. Springer Publisher. 2nd Edition. 2012.
Stata Statistical Software (Stata Corporation, College Station, TX) version 14 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 purchased either through the publisher or a variety of commercial venues (e.g., Amazon.com).
Grades will be based on 5 homework assignments.
Students not in full-year TICR Programs who satisfactorily pass all course requirements will, upon request, receive a Certificate of Course Completion.
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 is not permitted.
To apply for this course, please fill out and submit the application below. Please see our fees page for cost information. The deadline for application is September 7, 2018. Only one application needs to be completed for all courses desired during the quarter.
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