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BAYESIAN PREDICTIVE APPROACH FOR INFERENCE ABOUT PROPORTIONS
Author(s) -
Lecoutre Bruno,
Derzko Gérard,
Grouin JeanMarie
Publication year - 1995
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4780140924
Subject(s) - bayesian probability , bayesian inference , interim , computer science , equivalence (formal languages) , inference , antithrombotic , statistics , interim analysis , econometrics , sample size determination , population , clinical trial , artificial intelligence , mathematics , medicine , geography , archaeology , discrete mathematics , environmental health
This paper investigates the Bayesian procedures for comparing proportions. These procedures are especially suitable for accepting (or rejecting) the equivalence of two population proportions. Furthermore the Bayesian predictive probabilities provide a natural and flexible tool in monitoring trials, especially for choosing a sample size and for conducting interim analyses. These methods are illustrated with two examples where antithrombotic treatments are administrated to prevent further occurrences of thromboses.