[R-meta] sample variance estimation of an effect size (reponse ratio) using confidence limits

James Pustejovsky jepu@to @end|ng |rom gm@||@com
Wed Mar 17 16:12:42 CET 2021


Is the effect size reported on the log scale (log response ratio, with
range from negative infinity to positive infinity and null value of zero)
or on the ratio scale (range from 0 to infinity, null value of 1)?
Typically, confidence intervals are calculated on the log scale. If the
effect size is reported on the ratio scale, then you can use the formula
you described but you'll first have to convert the response ratio and
confidence limits to the log scale.


On Wed, Mar 17, 2021 at 10:09 AM Diego Grados Bedoya <diegogradosb using gmail.com>

> Dear all,
> I am trying to estimate the sample error variance of an effect size
> (reported as response ratio) based on the confidence intervals (assuming
> that it follows a Gaussian distribution). Is it a valid approach to use the
> following equation if I do not have the number of comparisons used in the
> calculation of the effect size?
> *variance = ((mean_ effect_size - lower_limit_confidence_interval) /
> 1.96)^2*
> If I would have the number of comparisons (n), should I go for the
> following equation?
> *variance = (n^2 * (mean_ effect_size - lower_limit_ confidence_interval))
> / 1.96*
> Thanks in advance,
> Kind regards,
> Diego
>         [[alternative HTML version deleted]]
> _______________________________________________
> R-sig-meta-analysis mailing list
> R-sig-meta-analysis using r-project.org
> https://stat.ethz.ch/mailman/listinfo/r-sig-meta-analysis

	[[alternative HTML version deleted]]

More information about the R-sig-meta-analysis mailing list