Biostatistical Methods for Clinical
Research III
BIOSTAT 209 Spring 2008 (3 units)
Course Director: David Glidden, PhD
Professor, Department of Epidemiology & Biostatistics
| OBJECTIVES |
 |
This is a third course in a statistics sequence, covering
multi-predictor methods, including exploratory data analysis, multiple
regression (linear and logistic), 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.
At the end of the course, students will be able to:
1. Understand the basics of survival analysis
2. Apply Cox regression in multiple predictor settings
3. Understand the basic concepts of repeated measures data
4. Apply multiple predictor regression in the repeated measures setting
5. Perform and write up the results of a data analysis for class discussion
| PREREQUISITES |
 |
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.
| FACULTY |
 |
| FORMAT |
 |
1. Lectures: Tuesdays, 10:30 to 12:00
2. Labs: Thursdays, 10:30 to 12:30
3. Homework Review Sessions: Tuesdays, 12:00 to 1:00, April 14,
22, and May 13
4. Project Presentations: Tues and Thur, 10:30 to 12:00 (5/20/08-6/05/08)
| TEXTBOOK |
 |
Regression Methods in Biostatistics by Vittinghoff,
Glidden, McCulloch, and Shiboski. Springer. 2006.
The statistical software package Stata (Stata Corporation, College Station,
Texas) is used in the program. The TICR Program has arranged for a sizeable discount for UCSF-affiliated personnel via the Stata GradPlan program.
| GRADING |
 |
Grades will be based on homework (70%) and data analysis project (30%). Late work is not accepted.
| ENROLLMENT |
 |
This course is open to a limited number of individuals outside
of the ATCR and Master's programs. 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. Cost and submission information are in
the application.
Application
(Word doc, 20KB)
|