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Abstract Details
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Activity Number:
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20
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Type:
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Topic Contributed
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Date/Time:
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Sunday, July 29, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #304288 |
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Title:
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Latent Factor Regression Models for Grouped Outcomes
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Author(s):
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Dawn Woodard*+ and Tanzy Love and David Ruppert and Sally Thurston
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Companies:
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Cornell University and University of Rochester and Cornell University and University of Rochester
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Address:
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228 Rhodes Hall, Ithaca, NY, 14853, United States
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Keywords:
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factor analysis ;
multiple outcomes ;
epidemiology ;
Bayesian
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Abstract:
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We consider models for the effect of exposure on multiple outcomes, where the outcomes are nested in domains. Viewing the modeling options as a spectrum between parsimonious random effect multiple outcomes models and more general continuous latent factor models, we introduce a set of models along this spectrum. We characterize the tradeoffs between parsimony and flexibility in this set of models, applying them to both simulated data and data relating phthalate exposure to infant anthropometry.
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Authors who are presenting talks have a * after their name.
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