Bayesian predictive approach for inference about proportions.
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.
Lecoutre
B
B
URA 1378, Analyse et Modélisation Stochastique, C.N.R.S. et Université de Roven (Mathématiques), Mont-Saint-Aignan, France.
Derzko
G
G
Grouin
J M
JM
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
D005343:Fibrinolytic Agents