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Generalized Inferences on the Overall Treatment Effect in Meta‐analysis with Normally Distributed Outcomes
Author(s) -
Tian Lili
Publication year - 2008
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.200710409
Subject(s) - inference , meta analysis , confidence interval , statistics , type i and type ii errors , sample size determination , statistical inference , econometrics , statistical hypothesis testing , mathematics , computer science , artificial intelligence , medicine
This paper focuses on inferences about the overall treatment effect in meta‐analysis with normally distributed responses based on the concepts of generalized inference. A refined generalized pivotal quantity based on t distribution is presented and simulation study shows that it can provide confidence intervals with satisfactory coverage probabilities and perform hypothesis testing with satisfactory type‐I error control at very small sample sizes. (© 2008 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)