Meta-analysis with missing data

被引：13
|
作者：
White, Ian R. [1 ]
Higgins, Julian P. T. [1 ]
机构：
[1] MRC Biostat Unit, Cambridge, England
来源：
STATA JOURNAL | 2009年 / 9卷 / 01期
基金：
英国医学研究理事会;
关键词：
st0157; metamiss; meta-analysis; missing data; informative missingness odds ratio; UNCERTAINTY;
D O I：
10.1177/1536867X0900900104
中图分类号：
O1 [数学]; C [社会科学总论];
学科分类号：
03 ; 0303 ; 0701 ; 070101 ;
摘要：
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.
引用
收藏
页码：57 / 69
页数：13
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