Re: [R] metafor - code for analysing geometric means

mes Clerk Maxwell Building 57 Waterloo Road London SE1 8WA Telephone 020 7848 3021 Mobile 07782 374217 email edward.purss...@kcl.ac.uk https://www.researchgate.net/profile/Edward_Purssell From: Viechtbauer Wolfgang (STAT) Sent: 14 November 2014 10:40 To:

[R] metafor - code for analysing geometric means

?Dear All I have some data expressed in geometric means and 95% confidence intervals. Can I code them in metafor as: rma(m1i=geometric mean 1, m2i=geometric mean 2, sd1i=geometric mean 1 CI /3.92, sd2i=geometric mean 2 CI/3.92...etc, measure="MD") All of the studies use geometric means.

[R] Using compute.es and metafor together

Dear All For mathematically challenged people such as myself; is it ok to use the compute.es package to calculate effect sizes and then import the effect sizes d and variances of d into metafor, coding these as yi and vi respectively and then running the meta-analysis? This seems easier beca

[R] metafor combining escalc effect-sizes

Dear All I have a question about combining effect sizes generated by escalc in metafor. I realise these may be stupid things to do; but they are deliberately so to explain what I mean - I don't intend doing this! I have 3 studies; each of which has a different measure of effect/presents the

[R] Metafor - why use escalc?

Dear All As you can specify the data directly to rma.uni via n1i, m1i, sd1i, etc in Metafor, why would you ever want to use escalc to calculate yi and vi? Aren't these just intermediate steps to the final pooled effect size which is calculated by rma.uni; or is there some advantage to calcul