Comparison study of estimators of between-trial variance in trial sequential analysis for random-effects model

  • Hong Weng
  • , Lin Cai
  • , Kaijie Wu
  • , Cheng Fang
  • , Guang Zeng
  • , Xiantao Zeng

Research output: Contribution to journalArticlepeer-review

Abstract

The assumption of fixed-effects model is based on that the true effect of the each trial is same. However, the assumption of random-effects model is based on that the true effect of included trials is normal distributed. The total variance is equal to the sum of within-trial variance and between-trial variance under the random-effects model. There are many estimators of the between-trial variance. The aim of this paper is to give a brief introduction of the estimators of between-trial variance in trial sequential analysis for random-effects model.

Original languageEnglish
Pages (from-to)369-372
Number of pages4
JournalChinese Journal of Evidence-Based Medicine
Volume17
Issue number3
DOIs
StatePublished - Mar 2017
Externally publishedYes

Keywords

  • Between-trial variance
  • Heterogeneity
  • Meta-analysis
  • Random-effects model
  • Trial sequential analysis

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