JSM 2013 Home
Online Program Home
My Program

Abstract Details

Activity Number: 115
Type: Topic Contributed
Date/Time: Monday, August 5, 2013 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Epidemiology
Abstract - #307804
Title: Measurement Error Correction for Survival Data Analysis with Covariates That Are Functions of Time-Varying Exposure Histories
Author(s): Xiaomei Liao*+ and Donna Spiegelman
Companies: Harvard School of Public Health and Harvard School of Public Health
Keywords: Measurement error ; Time-varying exposure ; Risk set regression calibration

Nutritional and environmental epidemiologists are often interested in estimating the prospective effect of functions of a time-varying exposure history such as the cumulatively updated average exposures or 12-month moving average exposures, in relation to chronic disease endpoints. By re-calibrating the measurement error model within each risk set, a risk set regression calibration (RRC) method has been proposed for Cox models in this setting. An algorithm for a bias-corrected point estimate of the relative risk using an RRC approach is developed, followed by the derivation of an estimator of its variance. Emphasis is on methods applicable to the main study/external validation study design, which is standard in nutritional and environmental epidemiology. Limitations of the current validation study designs are discussed and solutions to these limitations are proposed. Simulation studies under several realistic assumptions about the error model and correlation structures were conducted and the method is applied to a study of long-term exposure to fine particulate matter in air pollution in relation to all-cause mortality in the Nurses' Health Study.

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

Back to the full JSM 2013 program

2013 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.

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

ASA Meetings Department  •  732 North Washington Street, Alexandria, VA 22314  •  (703) 684-1221  •  meetings@amstat.org
Copyright © American Statistical Association.