Compute effect size d from effect size OR.
esc_or2d(or, se, v, totaln, es.type = c("d", "cox.d", "g"), info = NULL,
study = NULL)The effect size as odds ratio.
The standard error of d. One of se or v
must be specified.
The variance of d. One of se or v must be
specified.
The total sample size.
Type of effect size that should be returned.
"d"returns effect size d
"cox.d"returns effect size d, based on Cox method
"g"returns effect size Hedges' g (see hedges_g)
String with information on the transformation. Used for the print-method. Usually, this argument can be ignored
Optional string with the study name. Using combine_esc or
as.data.frame on esc-objects will add this as column
in the returned data frame.
The effect size es, the standard error se, the variance
of the effect size var, the lower and upper confidence limits
ci.lo and ci.hi, the weight factor w and the
total sample size totaln.
Lipsey MW, Wilson DB. 2001. Practical meta-analysis. Thousand Oaks, Calif: Sage Publications
Wilson DB. 2016. Formulas Used by the "Practical Meta-Analysis Effect Size Calculator". Unpublished manuscript: George Mason University
esc_or2d(3.56, se = 0.91)
esc_d2or(0.7, se = 0.5)
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