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

Author

Listed:
  • Matthew Burnell

    (University College London)

Programming Language

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.

Suggested Citation

  • Matthew Burnell, 2026. "MIXEDPOWER: Stata module to calculate power or sample size analytically for linear mixed-effects models," Statistical Software Components S459731, Boston College Department of Economics.
  • Handle: RePEc:boc:bocode:s459731
    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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    File URL: http://fmwww.bc.edu/repec/bocode/m/mixedpower.ado
    File Function: program code
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    File URL: http://fmwww.bc.edu/repec/bocode/m/mixedpower.sthlp
    File Function: help file
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    File URL: http://fmwww.bc.edu/repec/bocode/m/mvmixedpower.ado
    File Function: program code
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    File URL: http://fmwww.bc.edu/repec/bocode/m/mvmixedpower.sthlp
    File Function: help file
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    File URL: http://fmwww.bc.edu/repec/bocode/d/dmmixedpower.ado
    File Function: program code
    Download Restriction: no

    File URL: http://fmwww.bc.edu/repec/bocode/d/dmmixedpower.sthlp
    File Function: help file
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    File URL: http://fmwww.bc.edu/repec/bocode/m/ms_recruitment.dta
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