JSM 2012 Home

JSM 2012 Online Program

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

Online Program Home

Abstract Details

Activity Number: 550
Type: Invited
Date/Time: Wednesday, August 1, 2012 : 2:00 PM to 3:50 PM
Sponsor: Memorial
Abstract - #306876
Title: Paul Meier's Anatomy of the Cox Regression Model
Author(s): Theodore Karrison*+
Companies: The University of Chicago
Address: Department of Health Studies, Chicago, IL, 60637,
Keywords: Cox regression model ; Hazard function ; Translation family ; Power family
Abstract:

In 1984 Paul Meier presented an exposition of the Cox regression model at a symposium of the American Society for Artificial Internal Organs. The talk was published the following year (ASAIO Journal, 1985), but received scant attention thereafter. This is a pity: Professor Meier's view of the model remains timely, and is an example of his clear writing style and ability to communicate statistical concepts in a highly informative manner. In this talk I will discuss his view of the Cox model, which began with a description of the survival, density, and hazard rate functions. "In many respects the hazard function is the most intuitive of the three," he wrote, and went on to explain how the hazard function representation is able to accommodate censoring. An interesting aspect of the paper is his contrast of the standard multiple regression model with the Cox model. I will end on this last point with a simulation study illustrating an important issue that was also of concern to Meier: a drawback of the Cox model relative to the standard model is that in a randomized clinical trial adjustment for covariates does not improve the precision of the estimated treatment effect.


The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2012 program




2012 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.