Simulation-Based Power Calculations for Mixed Effects Modeling: ipdpower in Stata

Simulations are a practical and reliable approach to power calculations, especially for multi-level mixed effects models where the analytic solutions can be very complex. In addition, power calculations are model-specific and multi-level mixed effects models are defined by a plethora of parameters....

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Bibliographic Details
Published inJournal of statistical software Vol. 74; no. 12; pp. 1 - 25
Main Authors Kontopantelis, Evangelos, Springate, David A, Parisi, Rosa, Reeves, David
Format Journal Article
LanguageEnglish
Published Foundation for Open Access Statistics 01.10.2016
Subjects
coverage
individual patient data
IPD
ipdpower
meta analysis
mixed effects
multi level
PCD
power
primary care databases
random effects
Stata
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ISSN1548-7660
1548-7660
DOI10.18637/jss.v074.i12

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Summary:Simulations are a practical and reliable approach to power calculations, especially for multi-level mixed effects models where the analytic solutions can be very complex. In addition, power calculations are model-specific and multi-level mixed effects models are defined by a plethora of parameters. In other words, model variations in this context are numerous and so are the tailored algebraic calculations. This article describes ipdpower in Stata, a new simulations-based command that calculates power for mixed effects two-level data structures. Although the command was developed having individual patient data meta-analyses and primary care databases analyses in mind, where patients are nested within studies and general practices respectively, the methods apply to any two-level structure.
ISSN:1548-7660
1548-7660
DOI:10.18637/jss.v074.i12