Roberts: Roberts data
In metamisc: Meta-Analysis of Diagnosis and Prognosis Research Studies
Description
Usage
Format
Details
Source
Description
Data frame with summary data from 14 comparative studies.
Usage
1
data("Roberts")
Format
One data frame with 2 variables.
- SDM
Effect sizes (standardized differences in means)
- SE
Standard error of the effect sizes
Details
The Roberts data set is a meta-analysis of 14 studies comparing 'set shifting' ability (the ability to move back and forth between different tasks) in people with eating disorders and healthy controls.
Source
Roberts ME, Tchanturia K, Stahl D, Southgate L, Treasure J. A systematic review and meta-analysis of set-shifting ability in eating disorders. Psychological Medicine 2007, 37: 1075–1084.
Higgins JPT, Thompson SG, Spiegelhalter DJ. A re-evaluation of random-effects meta-analysis. Journal of the Royal Statistical Society. Series A (Statistics in Society) 2009, 172: 137–159.
metamisc documentation built on Oct. 13, 2021, 3 p.m.
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Description Usage Format Details Source
Description
Data frame with summary data from 14 comparative studies.
Usage
1 | data("Roberts")
|
Format
One data frame with 2 variables.
- SDM
Effect sizes (standardized differences in means)
- SE
Standard error of the effect sizes
Details
The Roberts data set is a meta-analysis of 14 studies comparing 'set shifting' ability (the ability to move back and forth between different tasks) in people with eating disorders and healthy controls.
Source
Roberts ME, Tchanturia K, Stahl D, Southgate L, Treasure J. A systematic review and meta-analysis of set-shifting ability in eating disorders. Psychological Medicine 2007, 37: 1075–1084.
Higgins JPT, Thompson SG, Spiegelhalter DJ. A re-evaluation of random-effects meta-analysis. Journal of the Royal Statistical Society. Series A (Statistics in Society) 2009, 172: 137–159.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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