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

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  • Kontopantelis, Evangelos
  • Springate, David A
  • Parisi, Rosa
  • Reeves, David

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.

Suggested Citation

  • Kontopantelis, Evangelos & Springate, David A & Parisi, Rosa & Reeves, David, 2016. "Simulation-Based Power Calculations for Mixed Effects Modeling: ipdpower in Stata," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 74(i12).
    • Handle: RePEc:jss:jstsof:v:074:i12
    DOI: http://hdl.handle.net/10.18637/jss.v074.i12
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    1. Horton, Nicholas J. & Kleinman, Ken P., 2007. "Much Ado About Nothing: A Comparison of Missing Data Methods and Software to Fit Incomplete Data Regression Models," The American Statistician, American Statistical Association, vol. 61, pages 79-90, February.
    2. Evangelos Kontopantelis & David Reeves, 2013. "A short guide and a forest plot command (ipdforest) for one-stage meta-analysis," Stata Journal, StataCorp LP, vol. 13(3), pages 574-587, September.
    3. Evangelos Kontopantelis & David A Springate & David Reeves, 2013. "A Re-Analysis of the Cochrane Library Data: The Dangers of Unobserved Heterogeneity in Meta-Analyses," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-14, July.
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