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变系数荟萃分析方法用于优势比和风险比。

Varying coefficient meta-analysis methods for odds ratios and risk ratios.

机构信息

Department of Psychology, University of California, Santa Cruz.

Department of Mathematics and Statistics, East Tennessee State University.

出版信息

Psychol Methods. 2015 Sep;20(3):394-406. doi: 10.1037/met0000032. Epub 2015 Mar 9.

Abstract

Odds ratios and risk ratios are useful measures of effect size in 2-group studies in which the response variable is dichotomous. Confidence interval methods are proposed for combining and comparing odds ratios and risk ratios in multistudy designs. Unlike the traditional fixed-effect meta-analysis methods, the proposed varying coefficient methods do not require effect-size homogeneity, and unlike the random-effects meta-analysis methods, the proposed varying coefficient methods do not assume that the effect sizes from the selected studies represent a random sample from a normally distributed superpopulation of effect sizes. The results of extensive simulation studies suggest that the proposed varying coefficient methods have excellent performance characteristics under realistic conditions and should provide useful alternatives to the currently used meta-analysis methods. (PsycINFO Database Record

摘要

在研究中,二项反应变量的 2 组比较,优势比和风险比是有用的效应量指标。本文提出了置信区间方法,用于多研究设计中合并和比较优势比和风险比。与传统的固定效应荟萃分析方法不同,所提出的变系数方法不需要效应大小的同质性,与随机效应荟萃分析方法不同,所提出的变系数方法并不假设所选研究的效应大小代表正态分布效应大小超总体的随机样本。广泛的模拟研究结果表明,所提出的变系数方法在现实条件下具有优异的性能特征,并且应该为当前使用的荟萃分析方法提供有用的替代方法。

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