JSM 2015 Preliminary Program

Online Program Home
My Program

Abstract Details

Activity Number: 270
Type: Contributed
Date/Time: Monday, August 10, 2015 : 2:00 PM to 2:45 PM
Sponsor: Section on Statistics in Epidemiology
Abstract #317896
Title: The Marginal Structural Models for Modeling Time-Dependent Exposure in the Analysis of Case-Control Studies
Author(s): Lie Hong Chen* and Anny H. Xiang
Companies: Kaiser Permanente and Kaiser Permanente
Keywords: Marginal structural model ; inverse-probability ; weight
Abstract:

Many exposures in case-control studies may vary over time. Marginal structural model (MSM) was increasingly used to address time-varying confounding in observational studies. The objective is to compare the differences in exposure effect estimates between marginal structural models and conventional models using data from a matched case-control study of statin use and lymphoma death. MSM inverse-probability-of-treatment weighting (IPTW) approach was used to obtain the stabilized weights from a pooled logistic regression analysis of control data. The odds ratio for the exposure-disease association is estimated from the weighted logistic regression analysis using generalized estimating equations. The MSM IPTW approach produces an asymptotically unbiased estimate of the causal parameter which is superior to the conditional logistic regression estimates. MSM provides marginal estimates and allows for appropriate adjustment for confounding while conventional estimates are conditional. MSM is a potential alternative method to analyze with time-dependent exposures in population-based case-control studies.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2015 program





For program information, contact the JSM Registration Department or phone (888) 231-3473.

For Professional Development information, contact the Education Department.

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

2015 JSM Online Program Home