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Comparison of commonly used methods in random effects meta-analysis: application to preclinical data in drug discovery research

Authors

  • Ezgi Tanriver-Ayder Centre for Clinical Brain Sciences, Edinburgh Medical School, The University of Edinburgh, Edinburgh, Scotland, UKTranslational Medicine and Early Development Statistics, Janssen Pharmaceutica, Beerse, Antwerpen, Belgium PubMed articlesGoogle scholar articles
  • Christel Faes Data Science Institute (DSI), Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat), Hasselt University, Hasselt, Limburg, Belgium PubMed articlesGoogle scholar articles
  • Tom van de Casteele Translational Medicine and Early Development Statistics, Janssen Pharmaceutica, Beerse, Antwerpen, Belgium PubMed articlesGoogle scholar articles
  • Sarah K McCann QUEST Center for Transforming Biomedical Research, Berlin Institute of Health (BIH), Charité–Universitätsmedizin Berlin, Berlin, Germany PubMed articlesGoogle scholar articles
  • Malcolm R Macleod Centre for Clinical Brain Sciences, Edinburgh Medical School, The University of Edinburgh, Edinburgh, Scotland, UK PubMed articlesGoogle scholar articles
  1. Correspondence to Ezgi Tanriver-Ayder; ezgi.tanriverayder{at}ed.ac.uk
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Citation

Tanriver-Ayder E, Faes C, van de Casteele T, et al
Comparison of commonly used methods in random effects meta-analysis: application to preclinical data in drug discovery research

Publication history

  • Received March 30, 2020
  • Revised November 26, 2020
  • Accepted January 8, 2021
  • First published February 25, 2021.
Online issue publication 
February 25, 2021

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