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Instructor Class Description

Time Schedule:

Norman Breslow
EPI 537
Seattle Campus

Survival Data Analysis in Epidemiology

Introduction to multivariate analysis of survival data using multiplicative models. Application to epidemiologic and health sciences studies. Familiarity with interpretation and available softwarecomputer programs gained by analysis of bona fide sets of data and critiques of published analyses appearing in the literature. Prerequisite: BIOST 536 or permission of instructor. Offered: jointly with BIOST 537; W.

Class description

Analysis of continuous time-to-event data from epidemiological cohort studies with emphasis on estimation of event risks and rates, statistical tests for equality of hazard rates (survival curves) and relative risk regression.

Student learning goals

Estimate survival (cumulative risk) curves using the Kaplan-Meier estimator

Compare two or more survival curves using a log-rank or related test

Fit appropriate Cox regression models to epidemiologic cohort data using STATA

Use graphical and analytic methods to assess the adequacy of the fitted models

Design and analyze data from case-cohort and nested case-control studies

Construct person-years at risk tables and analyze them with Poisson regression

General method of instruction

Lectures are prepared in advance, with hardcopies of the lecture notes posted to the class webpage before each lecture. Questions from registered students are encouraged. The questions often clarify points on which several students may share the same uncertainty.

Recommended preparation

Biost/Epi 536 and Biostat 517/518 or Biostat 511/512/513

Class assignments and grading

Weekly assignments will involve application of the statistical methods described in class to clinical and epidemiological data and demonstration of critical thinking in evaluating claims in published articles. Assignments will generally be distributed one week in advance and be due in class the following Thursday. Computer output should be edited to eliminate all irrelevant material and should clearly indicate the answers to the questions posed. Late assignments are not acceptable. Homework keys prepared by the teaching assistant will be posted to the class website.

25% Homework 25% Midterm 20% Project 30% Final

The information above is intended to be helpful in choosing courses. Because the instructor may further develop his/her plans for this course, its characteristics are subject to change without notice. In most cases, the official course syllabus will be distributed on the first day of class.
Last Update by Norman Breslow
Date: 01/04/2011