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.
