Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Simulation-Based Power Calculations for Mixed Effects Modeling: ipdpower in Stata | Kontopantelis | Journal of Statistical Software
Authors: Evangelos Kontopantelis, David A Springate, Rosa Parisi, David Reeves
Title: Simulation-Based Power Calculations for Mixed Effects Modeling: ipdpower in Stata
Abstract: 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.

Page views:: 1353. Submitted: 2014-05-12. Published: 2016-10-28.
Paper: Simulation-Based Power Calculations for Mixed Effects Modeling: ipdpower in Stata     Download PDF (Downloads: 921)
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ipdpower.zip: Stata source code Download (Downloads: 36; 22KB)
v74i12.do: Replication materials Download (Downloads: 47; 2KB)

DOI: 10.18637/jss.v074.i12

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.