Some New Random Effect Models for Correlated Binary Responses
Abstract: Exchangeable copulas are used to model an extra-binomial variation in Bernoulli experiments with a variable number of trials. Maximum likelihood inference procedures for the intra-cluster correlation are constructed for several copula families. The selection of a particular model is carried out using the Akaike information criterion (AIC). Profile likelihood confidence intervals for the intra-cluster correlation are constructed and their performance are assessed in a simulation experiment. The sensitivity of the inference to the specification of the copula family is also investigated through simulations. Numerical examples are presented.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Some New Random Effect Models for Correlated Binary Responses ; volume:2 ; number:1 ; year:2014 ; extent:15
Dependence modeling ; 2, Heft 1 (2014) (gesamt 15)
- Creator
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Tounkara, Fodé
Rivest, Louis-Paul
- DOI
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10.2478/demo-2014-0006
- URN
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urn:nbn:de:101:1-2411201442219.975280298784
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:38 AM CEST
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Associated
- Tounkara, Fodé
- Rivest, Louis-Paul
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