Exact method for computing absolute percent change in a dichotomous outcome from meta-analytic effect size: Improving impact and cost-outcome estimates

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Exact method for computing absolute percent change in a dichotomous outcome from meta-analytic effect size: Improving impact and cost-outcome estimates

Objectives: Meta-analyses typically compute a treatment effect size (Cohen's d), which is readily converted to another common measure, the binomial effect size display (BESD). BESD is the correlation coefficient and represents a percentage difference in outcome attributable to an intervention....

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Bibliographic Details
Main Authors:	Miller, T., Hendrie, Delia, Derzon, J.
Format:	Journal Article
Published:	Wiley-Blackwell Publishing, Inc. 2011
Online Access:	http://hdl.handle.net/20.500.11937/12391

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