MIXEDPOWER: Stata module to calculate power or sample size analytically for linear mixed-effects models

Matthew Burnell ()
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Matthew Burnell: University College London

Statistical Software Components from Boston College Department of Economics

Abstract: mixedpower is a program for calculating power or sample size analytically for linear mixed-effects models, typically for the design of a randomised clinical trial. As such, calculation will be far quicker and generally more accurate than by the use of simulation. The user has the facility to select the treatment effect parameterisation, covariance structure, allocation ratio, adjust for both dropout and incomplete follow-up due to staggered recruitment, and even account for misspecification of the treatment effect.

Language: Stata
Requires: Stata version 17
Keywords: power; sample size; linear mixed-effects models (search for similar items in EconPapers)
Date: 2026-06-09, Revised 2026-06-17
Note: This module should be installed from within Stata by typing "ssc install mixedpower". The module is made available under terms of the MIT license (https://opensource.org/licenses/MIT).
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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/m/mixedpower.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/mixedpower.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/m/mvmixedpower.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/mvmixedpower.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/d/dmmixedpower.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/d/dmmixedpower.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/m/ms_recruitment.dta
http://fmwww.bc.edu/repec/bocode/m/mixedpower_sf36.dta

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