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: > > http://www.metafor-project.org/doku.php/tips:clogit_paired_binary_data > > 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://wviechtb.github.io/metafor/#installation > > Best, > Wolfgang > > -----Original Message----- > From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Heather H > Kettrey > Sent: Tuesday, 02 July, 2019 14:59 > To: r-help@r-project.org > Subject: [R] Conditional Logistic Regression with Multilevel Data [using > clogistic() in Epi and lmer() in lme4???] > > I need to run some conditional logistic regression models on a multilevel > matched dataset (propensity score matched data from multiple research sites). > > I can pretty easily use the clogistic() function in the Epi package to run > conditional logistic regression models on each separate/nested subset of the > data (e.g., data obtained from each research site separately). However, I > cannot figure out how to run an aggregate analysis (of all aggregated sites) > in a way that accounts for clustering. > > When using unconditional logistic regression I can run the aggregate analysis > lmer() function in the lme4 package. However, I cannot figure out how to run > conditional logistic regression with the lmer() function (I am also open to > any other packages/functions that might work). > > Thanks in advance for help with this. > > Heather Hensman Kettrey, PhD > Assistant Professor of Sociology > Clemson University ______________________________________________ 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.
