Meta-analysis with missing data

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dc.creatorWhite, Ian R.
dc.creatorHiggins, Julian P.T.
dc.date2017-04-01T13:45:05Z
dc.date.accessioned2026-07-09T06:01:23Z
dc.descriptionA 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.
dc.identifierOther:st0157
dc.identifierdoi:10.22004/ag.econ.122700
dc.identifierhttps://ageconsearch.umn.edu/record/122700/files/sjart_st0157.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/122700
dc.identifier.urihttp://hdl.handle.net/123456789/571389
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/122700
dc.titleMeta-analysis with missing data
dc.typeText

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University of Minnesota