整合分析中结合效应值和总异质性的介绍

整合分析(meta-analysis)是对同一主题下多个独立实验结果进行综合的统计学方法,被认为是到目前为止最好的数量综合方法,其统计量为效应值。结合效应值(cumulative effect size)和总异质性(total heterogeneity)分别是整合分析中描述效应值中心趋向和变异程度的两个指标,是在整合分析中最重要的两个参数。在整合分析中随数据结构的不同又有多种求结合效应值和总异质性的方法。介绍了与三种数据结构(无结构数据、分类数据、连续数据)相对应的这两个指标的计算方法。

Introduction to cumulative effect sizes and total heterogenetity in meta-analysis

Meta-analysis, a statistical method to summarize independent studies under the same subject, is considered as the best quantitative summary method up to date. Effect size is its metric. Cumulative effect size and total heterogeneity,the most important parameters in meta-analysis, are the index which denote the center trend and variance of effect sizes in meta-analysis respectively. The method of their calculation depends on the different structure data. In this paper, three calculation methods suited to three different structure data (no structure data, categorical structure data and continuous structure data) were introduced and compared.