传统meta分析统计模型的合理使用

doi:10.3969/j.issn.1006-5253.2023.04.012

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摘要 meta分析是一种用于合并多个独立研究发现、结果和数据的常用统计学技术。在传统meta分析过程中选择合适的统计模型非常重要，但在实践中研究者常常会误用统计模型。本文主要介绍传统meta分析统计模型的新观点，列举国内外期刊上已发表的文献中正确或错误选择模型的情形，并给出合理使用模型的推荐建议和依据。

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	张天嵩

关键词 ： meta分析, 统计模型, 共同效应, 固定效应, 随机效应

Abstract：Meta-analysis is a common statistical technique used to combine findings, results, and data of several independent studies. The selection of the appropriate statistical model is critically important in the process of traditional meta-analysis, but in practice some researchers usually choose the models by mistake. In this paper we introduce some new views of the statistical models, and show some cases that were incorrect or correct selection of models in some published articles of domestic and foreign journals, and we also provide some recommendations and evidence for rational use of the model.

Key words： meta-analysis statistical model common-effect fixed-effects random-effects

收稿日期: 2023-04-13

基金资助:上海市静安区名老中医传承创新工作室项目（JA2021MLZZ005）；
上海市静安区中医药重点临床专科建设项目（JA2020Z003）

通讯作者: 张天嵩，Email: zhangtiansong@fudan.edu.cn

引用本文:

张天嵩. 传统meta分析统计模型的合理使用[J]. 中国医院统计, 2023, 30(4): 299-303.
Zhang Tiansong. Rational use of statistical models for traditional meta-analysis. journal1, 2023, 30(4): 299-303.

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http://manu58.magtech.com.cn/Jwk_zgyytj/CN/10.3969/j.issn.1006-5253.2023.04.012 或 http://manu58.magtech.com.cn/Jwk_zgyytj/CN/Y2023/V30/I4/299

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