Meta-analysis with missing data

A new command, metamiss, performs meta-analysis with binary outcomes when some or all studies have missing data. Missing values can be imputed as successes, as failures, according to observed event rates, or by a combination of these according to reported reasons for the data being missing. Alternatively, the user can specify the value of, or a prior distribution for, the informative missingness odds ratio.


Issue Date:
2009
Publication Type:
Journal Article
DOI and Other Identifiers:
st0157 (Other)
PURL Identifier:
http://purl.umn.edu/122700
Published in:
Stata Journal, Volume 09, Number 1
Page range:
57-69
Total Pages:
13

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 Record created 2017-04-01, last modified 2017-08-26

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