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Markov counting models for correlated binary responses

We propose a class of continuous-time Markov counting processes for analyzing correlated binary data and establish a correspondence between these models and sums of exchangeable Bernoulli random variables. Our approach generalizes many previous models for correlated outcomes, admits easily interpret...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Veröffentlicht in:Biostatistics
Hauptverfasser: Crawford, Forrest W., Zelterman, Daniel
Format: Artigo
Sprache:Inglês
Veröffentlicht: Oxford University Press 2015
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5963474/
https://ncbi.nlm.nih.gov/pubmed/25792624
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxv006
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