POWERSIM: Stata module for simulation-based power analysis for linear and generalized linear models

Joerg Luedicke ()
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Joerg Luedicke: University of Florida

Statistical Software Components from Boston College Department of Economics

Abstract: powersim exploits the flexibility of a simulation-based approach to the analysis of statistical power by providing a facility for automated power simulations in the context of linear and generalized linear regression models. The package supports a wide variety of uni- and multivariate covariate distributions and all family and link choices that are implemented in Stata's glm command (as of version 13). powersim simulates statistical power with respect to a specified data generating model in a point null hypothesis significance testing framework, but can also be used for quickly generating synthetic datasets or for performing simple Monte Carlo experiments in a regression context. An introductory tutorial is included in the package.

Language: Stata
Requires: Stata version 11.2
Keywords: statistical power; power analysis; simulation-based; Monte Carlo simulation; synthetic data (search for similar items in EconPapers)
Date: 2013-09-05
Note: This module should be installed from within Stata by typing "ssc install powersim". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/p/powersim.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/p/powersim.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/p/powersimplot.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/p/powersimplot.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/p/powersim_tutorial.pdf documentation (application/pdf)

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