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Impact of including or excluding both-armed zero-event studies on using standard meta-analysis methods for rare event outcome: a simulation study

Authors

  • Ji Cheng Department of Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada PubMed articlesGoogle scholar articles
  • Eleanor Pullenayegum Department of Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada The Hospital for Sick Children, Toronto, Ontario, Canada PubMed articlesGoogle scholar articles
  • John K Marshall Department of Medicine, McMaster University, Hamilton, Ontario, Canada PubMed articlesGoogle scholar articles
  • Alfonso Iorio Department of Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada Department of Medicine, McMaster University, Hamilton, Ontario, Canada PubMed articlesGoogle scholar articles
  • Lehana Thabane Department of Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada PubMed articlesGoogle scholar articles
  1. Correspondence to Professor Lehana Thabane; thabanl{at}mcmaster.ca
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Citation

Cheng J, Pullenayegum E, Marshall JK, et al
Impact of including or excluding both-armed zero-event studies on using standard meta-analysis methods for rare event outcome: a simulation study

Publication history

  • Received January 12, 2016
  • Revised July 14, 2016
  • Accepted July 19, 2016
  • First published August 16, 2016.
Online issue publication 
October 25, 2017

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