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Biostatistical Methods for Clinical Research III
BIOSTAT 209 Spring 2008 (3 units)



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

Course Director: Dave Glidden, PhD
Phone: 415-514-8009
email: dave@biostat.ucsf.edu
Lecturer: Chuck McCulloch, PhD
Phone: 415-514-8027
email: cmcculloch@epi.ucsf.edu
Director of Data Analysis Project: Peter Bacchetti, PhD
Phone: 415-514-8030
email: pbacchetti@epi-ucsf.org
Teaching Assistant: Kyle Steinman, MD
Phone: 415-353-4337
email:steinman@neuropeds.ucsf.edu

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)