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

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 W...

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Published inThe International Journal of Biostatistics Vol. 4; no. 1; pp. 21 - 34
Main Authors Tong, Xingwei, He, Xin, Sun, Jianguo, Lee, Mei-Ling T
Format Journal Article
LanguageEnglish
Published Germany bepress 16.10.2008
De Gruyter
Berkeley Electronic Press
Subjects
Animals
Biomarkers
Biostatistics - methods
bivariate Wiener process
current status data
Female
first-hitting-time model
General Biostatistics
Health Status
health status process
Humans
joint analysis
Likelihood Functions
Liver Neoplasms, Experimental - chemically induced
Liver Neoplasms, Experimental - pathology
Male
marker process
Mice
Models, Statistical
Statistical Models
Statistical Theory and Methods
Survival Analysis
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Summary: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
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ISSN:1557-4679
1557-4679
DOI:10.2202/1557-4679.1122