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حوزهبیزیآمار
خانوادهBayesian methodsHypothesis test
سال پیدایش20091977
پدیدآورRouder, Speckman, Sun, Morey & IversonP. C. O'Brien & T. R. Fleming; P. C. Pocock
نوعBayesian hypothesis testSequential / adaptive hypothesis test
منبع بنیادینRouder, J. N., Speckman, P. L., Sun, D., Morey, R. D. & Iverson, G. (2009). Bayesian t Tests for Accepting and Rejecting the Null Hypothesis. Psychonomic Bulletin & Review, 16(2), 225–237. DOI ↗O'Brien, P.C. & Fleming, T.R. (1979). A Multiple Testing Procedure for Clinical Trials. Biometrics, 35(3), 549–556. DOI ↗
نام‌های دیگرbayesian two-sample t-test, bayes factor t-test, Bayesçi t-Testisequential testing, group sequential design, interim analysis, Sıralı Analiz (Sequential Testing / Group Sequential Design)
مرتبط55
خلاصهThe Bayesian t-test, formalised by Rouder and colleagues in 2009, is a two-group comparison method that works within a Bayesian framework. Instead of a p-value, it produces a Bayes Factor (BF₁₀) that quantifies the evidence the data provide for the alternative hypothesis relative to the null, and it reports the full posterior distribution of the standardised effect size δ with a highest-density interval.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.
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ScholarGateمقایسهٔ روش‌ها: Bayesian t-Test · Sequential Analysis. بازیابی‌شده در 2026-06-15 از https://scholargate.app/fa/compare