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Activity Number: 267
Type: Contributed
Date/Time: Tuesday, August 5, 2008 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #302073
Title: Joint Model of Longitudinal Binary Data with Discrete Survival Time
Author(s): Kirsten Lum*+ and Rajeshwari Sundaram and Germaine Buck Louis
Companies: National Institutes of Health and National Institutes of Health and National Institutes of Health
Address: 6100 Executive Blvd., Rockville, MD, 20852,
Keywords: Survival ; Likelihood ; Longitudinal ; Epidemiology
Abstract:

Time to pregnancy (TTP), the number of menstrual cycles needed to achieve pregnancy, is widely used as a measure of fecundability in epidemiologic studies. Until recently, these studies did not incorporate information on frequency and timing of intercourse with respect to the fertile days of the cycle. Dunson (2003, 2007) has shown that intercourse behavior can have a large impact on probability of conception. It is also known that intercourse behavior in couples varies greatly, as it is influenced by libido and other factors, ex. age (Wilcox, 2004). We propose a joint model for intercourse behavior using association models for binary correlated data and a discrete survival model for TTP, incorporating unobserved libido via a latent variable. We use an EM algorithm approach for the estimation procedure. These methods are applied to the NY State Angler Cohort Prospective Pregnancy study.


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Revised September, 2008