Network meta-analysis

被引：531
|
作者：
White, Ian R. [1 ]
机构：
[1] Cambridge Inst Publ Hlth, MRC Biostat Unit, Cambridge, England
来源：
STATA JOURNAL | 2015年 / 15卷 / 04期
基金：
英国医学研究理事会;
关键词：
st0410; network components; network convert; network forest; network import; network map; network meta; network pattern; network query; network rank; network setup; network sidesplit; network table; network unset; network meta-analysis; multiple treatments meta-analysis; mixed-treatment comparisons; MIXED TREATMENT COMPARISONS; META-REGRESSION; RANDOMIZED-TRIALS; INCONSISTENCY; CONSISTENCY; MODEL;
D O I：
10.1177/1536867X1501500403
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：
Network meta-analysis is a popular way to combine results from several studies (usually randomized trials) comparing several treatments or interventions. It has usually been performed in a Bayesian setting, but recently it has become possible in a frequentist setting using multivariate meta-analysis and meta-regression, implemented in Stata with mvmeta. I describe a suite of Stata programs for network meta-analysis that perform the necessary data manipulation, fit consistency and inconsistency models using mvmeta, and produce various graphics.
引用
收藏
页码：951 / 985
页数：35
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