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. Copyright 2009 by StataCorp LP.

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Year of publication:	2009
Authors:	White, Ian R. ; Higgins, Julian P. T.
Published in:	Stata Journal. - StataCorp LP. - Vol. 9.2009, 1, p. 57-69
Publisher:	StataCorp LP
Subject:	metamiss \| meta-analysis \| missing data \| informative missingness odds ratio

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Extent:	text/html
Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005583260