Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/104504
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Type: Journal article
Title: Estimating adjusted associations between random effects from multilevel models: the reffadjust package
Author: Palmer, T.
Macdonald-Wallis, C.
Lawlor, D.
Tilling, K.
Citation: The Stata journal, 2014; 14(1):119-140
Publisher: Stata Press
Issue Date: 2014
ISSN: 1536-867X
1536-8734
Statement of
Responsibility: 
Tom M. Palmer, Corrie M. Macdonald-Wallis, Debbie A. Lawlor, Kate Tilling
Abstract: We describe a method to estimate associations between random effects from multilevel models. We provide two new postestimation commands, reffadjustsim and reffadjust4nlcom, which are distributed as the reffadjust package. These commands produce the estimates and their associated confidence intervals. The commands are used after official Stata multilevel model estimation commands mixed, meqrlogit, and meqrpoisson (formerly named xtmixed, xtmelogit, and xtmepoisson, respectively, before Stata 13) and with models fit in the MLwiN statistical software package via the runmlwin command. We demonstrate our commands with several simulated datasets and for a bivariate outcome model investigating the relationship between weight and mean arterial pressure in pregnant women using data from the Avon Longitudinal Study of Parents and Children. Our method and commands help to improve the interpretability of estimated random-effects variance components from multilevel models.
Keywords: st0327; reffadjust; reffadjustsim; reffadjust4nlcom; meqrlogit; meqrpoisson; mixed; multilevel models; runmlwin; xtmelogit; xtmepoisson; xtmixed; ALSPAC
Rights: © 2014 StataCorp LP
RMID: 0030042722
DOI: 10.1177/1536867X1401400109
Published version: http://www.stata-journal.com/article.html?article=st0327
Appears in Collections:Medicine publications

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