返回
Cross-hairs: a scatterplot for meta-analysis in R
DOI:10.1002/jrsm.1220.png)
摘要
En 中文
We describe a meta-analytic scatterplot that indicates precision of points for two variables paired within studies; this is equivalent in form to a 'cross-hairs' plot used to portray specificity and sensitivity in diagnostic testing. At the user's discretion, the plot also displays boxplots for each of the X and Y variable distributions, means for each of the variables, and the correlation between the two. The cross-hairs may be suppressed for dense point clouds. The program is written in R, so it can be modified by the user and can serve as a companion to existing meta-analysis programs. Some of the program's novel uses are described and illustrated with (1) independent effect sizes, (2) dependent effect sizes, and (3) shrunken estimates. Copyright (C) 2016 John Wiley & Sons, Ltd.
Keyword:
graph
plot
shrunken estimates
visualization
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.1
论文数:
826
被引数:
8.7K
机构
引用论文
An Assessment of the Magnitude of Effect Sizes: Evidence From 30 Years of Meta-Analysis in Management效应大小的评估: 来自管理学30年荟萃分析的证据
Robust variance estimation with dependent effect sizes: practical considerations including a software tutorial in Stata and SPSS具有相关效应大小的稳健方差估计: 实际考虑因素,包括Stata和SPSS中的软件教程


