LIU Man 1,2 # , CHEN Wensong 1,2 , LIU Yuxiu 1,2,3 , LIU Yaqi 1,2 , YUAN Yangdan 2,3
  • 1. Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, P.R.China;
  • 2. Department of Critical Care Medicine, General Hospital of Eastern Theater Command, Nanjing 210002, P.R.China;
  • 3. Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou 510515, P.R.China;
LIU Yuxiu, Email: liu_yuxiu@163.com
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Objectives To explore the statistical performance of different methods for meta-analysis of single rates with zero events so as to provide evidence for selecting meta-analysis methods in evidence-based research.Methods Through Monte-Carlo simulations, we evaluated the performance of various transformation and correction methods for meta-analysis of single rates with zero events, considering the point estimate bias, confidence interval coverage and width.Results When the overall event rate was above 30%, all methods showed good statistical performance. As the event rate dropped, log, logit, and arcsine transformations could still maintain good performance. However, when the event rate was less than 5%, only Freeman-Tukey transformation showed excellent performance.Conclusions The meta-analysis of single rate based on Freeman-Tukey transformation is robust, and should be recommended as the preferable choice of meta-analysis of single rate with zero events.

Citation: LIU Man, CHEN Wensong, LIU Yuxiu, LIU Yaqi, YUAN Yangdan. Meta-analysis of single rates with zero events. Chinese Journal of Evidence-Based Medicine, 2020, 20(10): 1226-1233. doi: 10.7507/1672-2531.202005059 Copy

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