Outcome Vector Dependent Sampling with Longitudinal Continuous Response Data

• Activity Number: 321
• Type: Topic Contributed
• Date/Time: Tuesday, August 5, 2014 : 10:30 AM to 12:20 PM
• Sponsor: Committee on Applied Statisticians
• Author(s): Jonathan Schildcrout*+
• Companies: Vanderbilt University
• Keywords: longitudinal data analysis ; outcome dependent sampling ; conditional likelihood ; epidemiological study design

Abstract

In this presentations we will discuss valid design and analysis methods that permit outcome dependent sampling of longitudinal continuous 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. We propose stratified sampling based on specific summaries of individual longitudinal trajectories, and we detail several analytical approaches for estimation using the resulting biased sample of subjects. We demonstrate that the efficiency of an outcome-based sampling design relative to use of a simple random sample depends on the choice of outcome summary statistic used to direct sampling, and we show a natural link between the goals of the longitudinal regression model and corresponding desirable designs.