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Abstract Details

Activity Number: 560
Type: Topic Contributed
Date/Time: Wednesday, August 1, 2012 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #304568
Title: Outcome Vector--Dependent Sampling with Longitudinal Continuous Response Data: Stratified Sampling Based on Summary Statistics
Author(s): Jonathan Schildcrout*+
Companies: Vanderbilt University
Address: 1161 21st Avenue South, Nashville, TN, 37232-2158, United States
Keywords: Outcome Dependent Sampling ; Epidemiological Study Design ; Longitudinal data

The analysis of longitudinal trajectories usually focuses on evaluation of explanatory factors that are either associated with rates of change or with overall mean levels of a continuous outcome variable. In this talk I will introduce valid design and analysis methods that permit outcome dependent sampling of longitudinal response data for scenarios where all outcome data currently exist, but a targeted sub-study is being planned in order to collect additional key exposure information on a limited number of subjects. I will propose stratified sampling based on specific summaries of individual longitudinal trajectories, and I will detail an ascertainment corrected maximum likelihood approach for estimation using the resulting biased sample of subjects. In addition, I will demonstrate that the efficiency of an outcome-based sampling design relative to use of a simple random sample depends highly on the choice of outcome summary statistic used to direct sampling and will show a natural link between the goals of the longitudinal regression model and corresponding desirable designs.

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