Far East Journal of Theoretical Statistics
Volume 25, Issue 1, Pages 1 - 14
(May 2008)
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BAYESIAN ANALYSIS OF DURATION DATA USING MULTISTATE COMPETING RISKS MODELS
Getachew A. Dagne (U. S. A.)
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Abstract: This paper presents the results of multistate competing
risks modeling of social interaction between parents and children. A multilevel
model, based on continuous-time semi-Markov chains, is proposed to adequately
characterize the behavioral processes of these dyads. The model deals with
repeated events within dyads in which there are multiple origin states and
multiple transition states. The transitions are jointly modeled to allow
interdependence among competing risks. The proposed method is applied to real
observational data to assess the relation of emotional expression in
parent-child interaction to risk for early and persisting child conduct
problems. |
Keywords and phrases: competing risks, event history, survival, multilevel models, multistates, Bayesian inference, semi-Markov models. |
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