The synthesis of regression slopes in meta-analysis

被引：254

作者：

Becker, Betsy Jane ^{[1
]}

Wu, Meng-Jia ^{[2
]}

机构：

[1] Florida State Univ, Coll Educ, Tallahassee, FL 32306 USA

[2] Loyola Univ, Sch Educ, Chicago, IL 60611 USA

来源：

STATISTICAL SCIENCE | 2007年 / 22卷 / 03期

基金：

美国国家科学基金会;

关键词：

generalized least squares; multivariate; meta-analysis; regression slopes;

D O I：

10.1214/07-STS243

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 [统计学]; 070103 [概率论与数理统计]; 0714 [统计学];

摘要：

Research on methods of meta-analysis (the synthesis of related study results) has dealt with many simple study indices, but less attention has been paid to the issue of summarizing regression slopes. In part this is because of the many complications that arise when real sets of regression models are accumulated. We outline the complexities involved in synthesizing slopes, describe existing methods of analysis and present a multivariate generalized least squares approach to the synthesis of regression slopes.

引用

页码：414 / 429

页数：16

共 45 条

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ESTIMATION FOR THE MULTIVARIATE ERRORS-IN-VARIABLES MODEL WITH ESTIMATED ERROR COVARIANCE-MATRIX [J].