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Recalibrating Single-Study Effect Sizes Using Hierarchical Bayesian Models

Zhipeng Cao, Matthew McCabe,Peter Callas,Renata B Cupertino,Jonatan Ottino-González, Alistair Murphy,Devarshi Pancholi,Nathan Schwab,Orr Catherine,Kent Hutchison,Janna Cousijn,Alain Dagher,John J Foxe,Anna E Goudriaan,Robert Hester,Chiang-Shan R Li,Wesley K Thompson,Angelica M Morales,Edythe D London,Valentina Lorenzetti,Maartje Luijten,Rocio Martin-Santos,Reza Momenan,Martin P Paulus,Lianne Schmaal,Rajita Sinha,Nadia Solowij,Dan J Stein,Elliot A Stein,Anne Uhlmann,Ruth J van Holst,Dick J Veltman,Reinout W Wiers,Murat Yücel,Sheng Zhang,Patricia Conrod,Scott Mackey,Hugh Garavan, ENIGMA Addiction Working Group

Frontiers in neuroimaging（2023）

Cited 0|Views62
Key words
effect size recalibration,hierarchical Bayesian model,case-control differences,substance dependence,small sample size,inflated effect size
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