JSM 2011 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.

Abstract Details

Activity Number: 524
Type: Contributed
Date/Time: Wednesday, August 3, 2011 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #301073
Title: An Estimating Equation for Semiparametric Frailty Models with Error-Prone Covariates
Author(s): Se Hee Kim*+ and Yi Li and Donna Spiegelman
Companies: Harvard School of Public Health and Dana-Farber Cancer Institute/Harvard School of Public Health and Harvard School of Public Health
Address: 677 Huntington Ave. , Boston, MA, 02115,
Keywords: copula ; estimating equation ; measurement error ; proportional hazards model

We consider semiparametric frailty models for the correction of measurement errors in survival data analysis. An estimating equation method based on the conditional expectation of the unobservable frailty is proposed for regression coefficients in the proportional hazard model with error-prone covariates. We allow general structures for the error-prone covariates, not restricted to a linear additive measurement error model or a Gaussian measurement error. The conditional distribution of the frailty given observed covariates is estimated nonparametrically through a copula as a function of the marginal distributions of the true exposure and the surrogate. The proposed approach via the copula can enhance the precision of estimation by utilizing all the available information on the surrogate from both main and validation studies. Asymptotic properties are established well, and finite sample properties are evaluated through extensive simulation studies. The proposed method is applied to data from the Nurses' Health Study and Health Professionals Follow-up Study.

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 2011 program

2011 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.