Joint Analysis of Current Status and Marker Data: An Extension of a Bivariate Threshold Model

Xingwei Tong, Beijing Normal University
Xin He, The Ohio State University
Jianguo Sun, University of Missouri
Mei-Ling T. Lee, University of Maryland

Abstract

This paper considers joint analysis of current status and marker data using a threshold model based on first hitting times. A failure time is defined as the time at which a subject's latent health status process first decreases to zero. We extend the bivariate Wiener process model in Whitmore et al. (1998) to the case when only current status data are available. We develop maximum likelihood estimation procedures and provide simulation studies. We apply our methods to a motivating example involving liver tumors in mice.

Recommended Citation

Tong, Xingwei; He, Xin; Sun, Jianguo; and Lee, Mei-Ling T. (2008) "Joint Analysis of Current Status and Marker Data: An Extension of a Bivariate Threshold Model," The International Journal of Biostatistics: Vol. 4 : Iss. 1, Article 21.
DOI: 10.2202/1557-4679.1122
Available at: http://www.bepress.com/ijb/vol4/iss1/21

 
 
 
 

ISSN: 1557-4679 ©1999-2009 The Berkeley Electronic Press™ All rights reserved.

To submit, subscribe, recommend this journal to your library, or sign up for email alerts, please visit: http://www.bepress.com/ijb