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Abstract Details
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Activity Number:
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578
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Type:
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Contributed
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Date/Time:
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Wednesday, August 1, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Bayesian Statistical Science
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| Abstract - #306451 |
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Title:
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Bayesian Transition Models for Multivariate Event Histories
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Author(s):
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Adam King*+ and Robert E Weiss
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Companies:
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University of California at Los Angeles and University of California at Los Angeles Fielding School of Public Health
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Address:
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641 Gayley Ave., Los Angeles, CA, 90024, United States
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Keywords:
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Transition Models ;
Multistate Models ;
Bayesian Survival ;
Bayesian Nonparametrics
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Abstract:
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We present Bayesian transition models for multivariate event histories in discrete time. Event histories consist of records of time points at which subjects make transitions between states in dichotomous state spaces. For example, subjects may pass into and out of the state of being employed. Our models allow simultaneous analysis of multiple state types (e.g., employment status and drug usage status) with simultaneous inclusion of nonparametric baseline hazards for multiple time variables (such as time in current state and age). In addition, we model informative censoring of the state processes. Methods are applied to retrospectively elicited lifetime histories of drug usage and related characteristics of 500 illegal drug users in Los Angeles.
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