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st: effect sizes for mixed effects regression


From   Jessica Nazanine Memarzia <jnm36@medschl.cam.ac.uk>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   st: effect sizes for mixed effects regression
Date   Wed, 22 May 2013 10:22:10 +0000

Hi,

I have a few questions regarding effect sizes for regressions- I have a rel= atively small sample size so am trying to support findings with effect size= s where possible.

Firstly, is it possible to compute effect sizes for interaction effects in = longitudinal mixed effects regression? I am using xtmixed in Stata 12

xtmixed ghq time ft3_prep_bin || id:, robust
xi: xtmixed ghq i.time*ft3_prep_bin || id:, robust

(data is in long format for analysis over 2 time points)

Secondly, would it also be possible (and perhaps a similar process) to comp= ute effect sizes for a similar mixed effects model interaction effect, whic= h is not longitudinal? (data in wide format again- analysis at t2)

xtmixed fghq_tot group sex || id:, robust
xi: xtmixed fghq_tot i.group*sex || id:, robust (interaction of 2 binary measures on a continuous measure)

Finally, is it possible to compute effect sizes for logistic regressions? U= sing logit and xi:logit for interaction terms? Or are odds ratios here typi= cally enough?

Many thanks,

Jessica Memarzia


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