Hi Marc and Wolfgang,
Thanks for your help. Is the following interpretation of your exchange correct? I need to use the glmer() function in the lme4 package (first installing the devel version of metaphor). I can specify both site and matched pairing as random effects using (1 | site / id). Is this understanding correct? Thanks, Heather Heather Hensman Kettrey, PhD Assistant Professor of Sociology Clemson University ________________________________ From: Wolfgang Viechtbauer <wolfgang.viechtba...@maastrichtuniversity.nl> Sent: Wednesday, July 3, 2019 9:15:50 AM To: Marc Schwartz Cc: Heather H Kettrey; R-help Subject: Re: [R] Conditional Logistic Regression with Multilevel Data [using clogistic() in Epi and lmer() in lme4???] Ouch, that was a brain fart on my part! But indeed, since we can fit a 'single-site model' using glmer() (as shown), we should be able to just add 'site' as another random effect with (1 | site / id). Best, Wolfgang On July 3, 2019 1:26:54 PM GMT+02:00, Marc Schwartz <marc_schwa...@me.com> wrote: >Wolfgang, > >Perhaps I am missing something here, but with clogit(), or Heather's >initial attempt at using clogistic(), as both have 'strata' arguments, >wouldn't the 'strata' argument need to be able to accept a nested >structure, along the lines of strata(id / site)? > >On the page that you link to below, I don't see an example of that type >of nesting structure. > >The mixed effects models would generally support a nested random >effects specification, if that makes sense here. > >Regards, > >Marc Schwartz > > >> On Jul 3, 2019, at 4:41 AM, Viechtbauer, Wolfgang (SP) ><wolfgang.viechtba...@maastrichtuniversity.nl> wrote: >> >> Dear Heather, >> >> You can do this with clogit() from the 'survival' package, using >strata(). See: >> >> >https://urldefense.proofpoint.com/v2/url?u=http-3A__www.metafor-2Dproject.org_doku.php_tips-3Aclogit-5Fpaired-5Fbinary-5Fdata&d=DwIFaQ&c=Ngd-ta5yRYsqeUsEDgxhcqsYYY1Xs5ogLxWPA_2Wlc4&r=BBiFu06xLWCETvNuhD6uw-_crP2zH6EmpC772CQach0&m=PP2LCJ_pE4EwJysp-nsvWt8oIJqJ0nhFvSMBuh7T-ww&s=dvbBssAbENU3KBtLTcWb64QHTComM-RmP8my38CxhW0&e= >> >> You can also use lme4::glmer(), glmmML::glmmML(), or >metafor::rma.glmm() for that. [1] >> >> [1] Rerunning this example, I noticed a slight issue with the >structuring of the output from rma.glmm() -- if you want to run that >example, install the 'devel' version of metafor as described here: >> >> https://urldefense.proofpoint.com/v2/url?u=https-3A__wviechtb.github.io_metafor_-23installation&d=DwIFaQ&c=Ngd-ta5yRYsqeUsEDgxhcqsYYY1Xs5ogLxWPA_2Wlc4&r=BBiFu06xLWCETvNuhD6uw-_crP2zH6EmpC772CQach0&m=PP2LCJ_pE4EwJysp-nsvWt8oIJqJ0nhFvSMBuh7T-ww&s=POvfvp_zMlzeLnfGS2EavvZp1-P_0utedAIqz994QkI&e= >> >> Best, >> Wolfgang [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
