metamiss: Meta-analysis with missing data

Ian White and Julian Higgins
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Julian Higgins: MRC Biostatistics Unit, Cambridge

United Kingdom Stata Users' Group Meetings 2007 from Stata Users Group

Abstract: A new command metamiss performs meta-analysis when some or all studies have missing data. A variety of assumptions are available, including missing-at-random, missing=failure, worst and best cases, and incorporating a user-specified prior distribution for the degree of informative missingness. This is joint work with Julian Higgins.

Date: 2007-09-14
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Persistent link: https://EconPapers.repec.org/RePEc:boc:usug07:09

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