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Joint modeling of longitudinal binar...

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Joint modeling of longitudinal binary data and time to an event: An application to human fecundity models.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Joint modeling of longitudinal binary data and time to an event: An application to human fecundity models./
Author:	Lum, Kirsten J.
Description:	42 p.
Notes:	Adviser: Elizabeth J. Malloy.
Contained By:	Masters Abstracts International46-05.
Subject:	Health Sciences, Epidemiology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1455143
ISBN:	9780549567943

Joint modeling of longitudinal binary data and time to an event: An application to human fecundity models.
Lum, Kirsten J.

Joint modeling of longitudinal binary data and time to an event: An application to human fecundity models. - 42 p.

Adviser: Elizabeth J. Malloy.

Thesis (M.S.)--The American University, 2008.

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) and Stanford and Dunson (2007) have 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 such as age and parity (Wilcox et al. 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 New York State Angler Cohort Prospective Pregnancy Study.

ISBN: 9780549567943Subjects--Topical Terms:

1019544
Health Sciences, Epidemiology.

Joint modeling of longitudinal binary data and time to an event: An application to human fecundity models.
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100 1 $a Lum, Kirsten J. $3 1038084
245 1 0 $a Joint modeling of longitudinal binary data and time to an event: An application to human fecundity models.
300 $a 42 p.
500 $a Adviser: Elizabeth J. Malloy.
500 $a Source: Masters Abstracts International, Volume: 46-05, page: 2718.
502 $a Thesis (M.S.)--The American University, 2008.
520 $a 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) and Stanford and Dunson (2007) have 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 such as age and parity (Wilcox et al. 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 New York State Angler Cohort Prospective Pregnancy Study.
590 $a School code: 0008.
650 4 $a Health Sciences, Epidemiology. $3 1019544
650 4 $a Statistics. $3 517247
690 $a 0463
690 $a 0766
710 2 $a The American University. $3 1017567
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790 $a 0008
790 1 0 $a Malloy, Elizabeth J., $e advisor
791 $a M.S.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1455143