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Improving interpretability: gamma as an alternative to R(2) as a measure of effect size.

Abstract:

A traditional measure of effect size associated with tests for difference between two groups is the variance explained by group membership (R(2)). If exposure to a disease causes a small but long term deficit in performance, however, R(2) does not capture that cumulating effect. We propose an alternative statistic, gamma, based on the probability of an unexposed person outperforming an exposed person. Although gamma is also a point estimate, it more easily conveys what the cumulating effect o...

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Authors


Reidpath, DD More by this author
Diamond, MR More by this author
More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, Primary Care Health Sciences, PHC-CTU
Journal:
Statistics in medicine
Volume:
19
Issue:
10
Pages:
1295-1302
Publication date:
2000-05-05
DOI:
EISSN:
1097-0258
ISSN:
0277-6715
URN:
uuid:03a0076a-c770-4055-b27d-6dca6fb6a703
Source identifiers:
215583
Local pid:
pubs:215583

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