metamiss: Meta-analysis with missing data

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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Year of publication:	2007-09-14
Authors:	White, Ian ; Higgins, Julian
Institutions:	Stata User Group

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Extent:	application/x-ms-powerpoint
Series:	United Kingdom Stata Users' Group Meetings 2007.
Type of publication:	Book / Working Paper
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005102765