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Estimating adjusted associations between random effects from multilevel models : the reffadjust package

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Palmer, Tom M., Macdonald-Wallis, Corrie M., Lawlor, Debbie A. and Tilling, Kate (2014) Estimating adjusted associations between random effects from multilevel models : the reffadjust package. Stata Journal, Volume 14 (Number 1). pp. 119-140. ISSN 1536-867X.

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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.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Health Sciences
Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School
Library of Congress Subject Headings (LCSH): Multilevel models (Statistics) -- Computer programs
Journal or Publication Title: Stata Journal
Publisher: Stata Press
ISSN: 1536-867X
Official Date: 2014
Dates:
DateEvent
2014Published
Volume: Volume 14
Number: Number 1
Page Range: pp. 119-140
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Funder: Wellcome Trust (London, England), Medical Research Council (Great Britain) (MRC)
Grant number: WT087997MA (WT), G1000726 (MRC), G0600705 (MRC), MR/J011932/1 (MRC), 092731 (WT)

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