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OBJECTIVES

This is a second course in statistics, covering multi-predictor methods, including exploratory data analysis and multiple regression (linear and logistic). 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. To describe the roles of descriptive versus inferential statistics.
2. To identify characteristics of the problem to help choose the appropriate analytic technique.
3. To describe techniques appropriate for handling a single outcome variable and multiple predictors.
4. To outline data limitations and their consequences.

PREREQUISITES

Designing Clinical Research (Epi 202), and Biostatistical Methods I (Biostat 200) or Intro to Statistical Analysis (Biostat 183). If Biostat 200 has not been taken, evidence of knowledge of the use of STATA is required. 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, CB 6702
2. Labs: Thursdays, 10:30 to 12:30, CB 6704
3. Problem Review Sessions: Tuesdays, 12:00-1:00, Jan. 29, Feb. 12, Feb. 26, Mar. 11, CB 6702

TEXTBOOK

Regression Methods in Biostatistics by Vittinghoff, Glidden, McCulloch, and Shiboski. Springer, 2005.

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 five homework assignments (70%) and a final exam (30%). The exam will be distributed on 3/11/08 and due on 3/21/08. 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)