JSM 2005 - Toronto

Abstract #304039

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 198
Type: Contributed
Date/Time: Monday, August 8, 2005 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #304039
Title: Modeling Association between Menstrual Length Characteristics and Reproductive Outcomes
Author(s): Amita K. Manatunga*+ and Robert Lyles and Ying Guo and Chanley Small and Michele Marcus
Companies: Emory University and Emory University and Emory University and Emory University and Emory University
Address: 1518 Clifton Rd NE, Atlanta, GA, 30322, United States
Keywords: measurement error ; time to pregnancy ; menstrual length ; joint modeling
Abstract:

A common objective in reproductive epidemiologic studies involves the statistical modeling of multiple menstrual lengths and, ultimately, investigation of associations between characteristics of menstrual lengths and reproductive outcomes such as time to pregnancy. The first of these two goals often is complicated due to the structure of the data, requiring well thought-out, flexible, and innovative models for longitudinal data. The second requires careful consideration of the manner in which exposure increments health risk and suffers to some degree from exposure measurement error. Epidemiologic researchers sometimes find it appealing to reduce the menstrual length data to summary statistics, such as means and standard deviations at the first stage. These estimates are then plugged into a second-stage regression equation to determine the association between these measures and reproductive outcomes. In this talk, we discuss statistical issues related to this simple method and propose models for addressing the above goals while accounting for measurement errors.

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Revised March 2005