JSM 2011 Online Program

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Abstract Details

Activity Number: 318
Type: Invited
Date/Time: Tuesday, August 2, 2011 : 10:30 AM to 12:20 PM
Sponsor: ENAR
Abstract - #300513
Title: Conditional Likelihood Approaches for Outcome Dependent Sampling Designs Using Continuous Longitudinal Data
Author(s): Patrick Heagerty*+ and Jonathan Schildcrout
Companies: University of Washington and Vanderbilt University School of Medicine
Address: , , WA, , United States
Keywords: design ; longitudinal

With the emergence of large-scale capture of patient data in electronic medical records there are opportunities to use these data bases to design novel biomedical investigations. When individual subjects have longitudinal measurements already recorded but interest is in linking change over time to new markers and/or to patient environmental characteristics then patients would need to be selected for additional data collection. We discuss sampling designs that generalize standard case-control designs to the longitudinal setting, and discuss ascertainment-corrected inference using longitudinal regression models conditional on selection into the study. We compare the efficiency of proposed designs to alternative random sampling and/or full cohort data collection.

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