Neither fixed nor random: weighted least squares meta-analysis
This study challenges two core conventional meta‐analysis methods: fixed effect and random effects. We show how and explain why an unrestricted weighted least squares estimator is superior to conventional random‐effects meta‐analysis when there is publication (or small‐sample) bias and better than a...
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Published in | Statistics in medicine Vol. 34; no. 13; pp. 2116 - 2127 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
England
Blackwell Publishing Ltd
15.06.2015
Wiley Subscription Services, Inc |
Subjects | |
Online Access | Get full text |
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