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Activity Number:
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608
- Novel Methods for Longitudinal Analysis in Large Cohort Studies
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Type:
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Topic Contributed
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Date/Time:
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Thursday, August 3, 2017 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section
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Abstract #322806
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Title:
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Statistical Indices for Risk Tracking in Longitudinal Studies
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Author(s):
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Xin Tian*
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Companies:
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National Heart, Lung and Blood Institute
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Keywords:
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longitudinal study ;
tracking ;
basic approximation ;
Conditional distribution ;
Mixed model ;
Time-varying coefficient model
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Abstract:
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The ability to track a subject's risk factors and health outcomes over time is one of the main advantages of longitudinal studies over the cross-sectional studies. An important issue of time-trend tracking is to define appropriate statistical indices to quantitatively measure the tracking abilities of variables of interest over time. Building on our earlier work on the local statistical tracking indices derived from the conditional distributions, we propose a series of global statistical tracking indices. We investigate the statistical properties of the new global tracking indices in a simulation study, and demonstrate the usefulness of these tracking indices through their application to longitudinal studies of cardiovascular risk factors.
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Authors who are presenting talks have a * after their name.
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