title: Bayesian predictive approach for inference about proportions.
abstract: 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.
authors.affiliation: URA 1378, Analyse et Modélisation Stochastique, C.N.R.S. et Université de Roven (Mathématiques), Mont-Saint-Aignan, France.
authors.forename: B
authors.initials: B
authors.lastname: Lecoutre
authors.forename: G
authors.initials: G
authors.lastname: Derzko
authors.forename: J M
authors.initials: JM
authors.lastname: Grouin
mesh_terms: D001499:Bayes Theorem; D016010:Binomial Distribution; D002986:Clinical Trials as Topic / Q000706:statistics & numerical data*; D003627:Data Interpretation, Statistical; D004341:Drug Evaluation; D005343:Fibrinolytic Agents / Q000494:pharmacology; D006801:Humans; D016017:Odds Ratio; D011237:Predictive Value of Tests; D018401:Sample Size
chemical_list: D005343:Fibrinolytic Agents