RT Journal
A1 Vedula S, Altman DG
T1 EFfect size estimation as an essential component of statistical analysis
JF Archives of Surgery
JO Archives of Surgery
YR 2010
FD April 1
VO 145
IS 4
SP 401
OP 402
DO 10.1001/archsurg.2010.33
UL http://dx.doi.org/10.1001/archsurg.2010.33
AB
The term effect size has 2 related but different meanings. In its generic form, effect size refers to any estimate of the difference in effect between 2 treatments. In its more specific sense, effect size refers to a standardized measure of effect, in which the estimated difference in a continuous measure is expressed as a multiple of the within-group standard deviation (sometimes termed Cohen d). A recent editorial published in Archives describes methods to calculate the standardized measure but almost wholly ignores the generic use of the term.1 Furthermore, the authors argue that only standardized effects are comparable across studies. This is incorrect; indeed most meta-analyses conducted in health research are based on what they call raw effect sizes.