simsum: Analyses of simulation studies including Monte Carlo error

A new Stata command, simsum, analyzes data from simulation studies. The data may comprise point estimates and standard errors from several analysis methods, possibly resulting from several different simulation settings. simsum can report bias, coverage, power, empirical standard error, relative precision, average model-based standard error, and the relative error of the standard error. Monte Carlo errors are available for all of these estimated quantities.


Issue Date:
2010
Publication Type:
Journal Article
DOI and Other Identifiers:
st0200 (Other)
PURL Identifier:
http://purl.umn.edu/159027
Published in:
Stata Journal, Volume 10, Number 3
Page range:
369-385
Total Pages:
17

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 Record created 2017-04-01, last modified 2017-08-27

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