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随机效应模型试验序贯分析中研究间方差估算方法的比较研究

Comparison study of estimators of between-trial variance in trial sequential analysis for random-effects model
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摘要 固定效应模型的假设前提是各项研究的真实效应值是相同的,而随机效应模型的假设前提是各项研究的真实效应呈正态分布。随机效应模型下总方差是研究内方差与研究间方差之和,而研究间方差的估算方法有多种,各有优缺点。本文简要介绍随机效应模型试验序贯分析中研究间方差的估算方法,并对其进行比较研究。 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.
出处 《中国循证医学杂志》 CSCD 2017年第3期369-372,共4页 Chinese Journal of Evidence-based Medicine
基金 国家重点研发计划专项基金(编号:2016YFC0106300)
关键词 试验序贯分析 META分析 随机效应模型 研究间方差 异质性 Trial sequential analysis Meta-analysis Random-effects model Between-trial variance Heterogeneity
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