Comparer des méthodes

	Analyse séquentielle (plan séquentiel de groupe)	Analyse de puissance bayésienne (assurance)
Domaine	Statistique	Statistique
Famille	Hypothesis test	Hypothesis test
Année d'origine	1977	1986
Auteur d'origine	P. C. O'Brien & T. R. Fleming; P. C. Pocock	Spiegelhalter & Freedman (1986); O'Hagan, Stevens & Campbell (2005)
Type	Sequential / adaptive hypothesis test	Bayesian sample size determination
Source fondatrice	O'Brien, P.C. & Fleming, T.R. (1979). A Multiple Testing Procedure for Clinical Trials. Biometrics, 35(3), 549–556.	O'Hagan, A., Stevens, J.W. & Campbell, M.J. (2005). Assurance in Clinical Trial Design. Pharmaceutical Statistics, 4(3), 187–201.
Alias	sequential testing, group sequential design, interim analysis, Sıralı Analiz (Sequential Testing / Group Sequential Design)	assurance, bayesian sample size determination, bayesian assurance, Bayesian Güç Analizi (Assurance / Bayesian Sample Size)
Apparentées	5	3
Résumé	Sequential analysis is a framework for conducting hypothesis tests with pre-planned interim looks at accumulating data, allowing a study to stop early for efficacy or futility while controlling the overall Type I error rate. The group sequential approach was formalised by Pocock (1977) and O'Brien and Fleming (1979), and remains the standard for confirmatory clinical trials and rigorous A/B experiments.	Bayesian power analysis — also called assurance — is a sample size determination method that replaces the frequentist notion of power with a probability-weighted average over a prior distribution on the effect size. First formalised by Spiegelhalter and Freedman (1986) and further developed by O'Hagan, Stevens and Campbell (2005), it answers the question: given our current uncertainty about the true effect, what sample size gives us a high overall probability of obtaining a statistically significant result?