Graphical Tools for Network Meta-Analysis in STATA

被引：1746

作者：

Chaimani, Anna ^{[1
]}

Higgins, Julian P. T. ^{[2
,3
]}

Mavridis, Dimitris ^{[1
,4
]}

Spyridonos, Panagiota ^{[5
]}

Salanti, Georgia ^{[1
]}

机构：

[1] Univ Ioannina, Sch Med, Dept Hyg & Epidemiol, GR-45110 Ioannina, Greece

[2] Univ Bristol, Sch Social & Community Med, Bristol, Avon, England

[3] Univ York, Ctr Reviews & Disseminat, York YO10 5DD, N Yorkshire, England

[4] Univ Ioannina, Dept Primary Educ, GR-45110 Ioannina, Greece

[5] Univ Ioannina, Sch Med, Dept Med Phys, GR-45110 Ioannina, Greece

来源：

PLOS ONE | 2013年 / 8卷 / 10期

基金：

欧洲研究理事会;

关键词：

PUBLICATION BIAS; INCONSISTENCY; CONSISTENCY; INTERVENTIONS; INFERENCE; MODEL;

D O I：

10.1371/journal.pone.0076654

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Network meta-analysis synthesizes direct and indirect evidence in a network of trials that compare multiple interventions and has the potential to rank the competing treatments according to the studied outcome. Despite its usefulness network meta-analysis is often criticized for its complexity and for being accessible only to researchers with strong statistical and computational skills. The evaluation of the underlying model assumptions, the statistical technicalities and presentation of the results in a concise and understandable way are all challenging aspects in the network meta-analysis methodology. In this paper we aim to make the methodology accessible to non-statisticians by presenting and explaining a series of graphical tools via worked examples. To this end, we provide a set of STATA routines that can be easily employed to present the evidence base, evaluate the assumptions, fit the network meta-analysis model and interpret its results.

引用

页数：12

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