An efficient numerical algorithm for exact inference in meta analysis

The performance of commonly used asymptotic inference procedures for the random-effects model used in meta analysis relies on the number of studies. When the number of studies is moderate or small, the exact inference procedure is more reliable than the asymptotic counterparts. However, the related...

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Bibliographic Details

Published in:	Journal of statistical computation and simulation Vol. 88; no. 4; pp. 646 - 656
Main Authors:	Wang, Yan, Tian, Lu
Format:	Journal Article
Language:	English
Published:	United States Taylor & Francis 04.03.2018 Taylor & Francis Ltd
Subjects:	Algorithms Asymptotic methods Comparative studies Confidence intervals exact inference Inference Mathematical models Meta analysis Numerical analysis random-effects model exact inference Meta analysis random effects model
ISSN:	0094-9655, 1563-5163
Online Access:	Get full text
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