학술논문
metamiss: Meta-analysis with missing data
Document Type
redif-paper
Author
Source
Stata Users Group, United Kingdom Stata Users' Group Meetings 2007.
Subject
Language
English
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.