[R] Conditional Logistic Regression with Multilevel Data [using clogistic() in Epi and lmer() in lme4???]

[Heather H Kettrey]

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.viechtbauer using 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_schwartz using 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.viechtbauer using 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

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