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metamiss: Meta-analysis with missing data

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Author Info
Ian White () (MRC Biostatistics Unit, Cambridge)
Julian Higgins (MRC Biostatistics Unit, Cambridge)
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.

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Paper provided by Stata Users Group in its series United Kingdom Stata Users' Group Meetings 2007 with number 09.

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Date of creation: 14 Sep 2007
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Handle: RePEc:boc:usug07:09

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