Objective Bayesian reference analysis for the Poisson process model in presence of recurrent events data
This article applies Bayesian reference analysis, widely considered as the most successful method to produce objective, model-based, posterior distributions, to a problem of inference in survival analysis. A formulation is considered where individuals are expected to experience repeated events, alon...
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Published in | Test (Madrid, Spain) Vol. 20; no. 1; pp. 204 - 221 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Berlin/Heidelberg
Springer-Verlag
01.05.2011
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Summary: | This article applies Bayesian reference analysis, widely considered as the most successful method to produce objective, model-based, posterior distributions, to a problem of inference in survival analysis. A formulation is considered where individuals are expected to experience repeated events, along with concomitant variables. The sampling distribution of the observations is modeled through a proportional intensity homogeneous Poisson process. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1133-0686 1863-8260 |
DOI: | 10.1007/s11749-010-0195-1 |