Evaluation of inconsistency in networks of interventions

Areti Angeliki Veroniki; Haris S Vasiliadis; Julian P T Higgins; Georgia Salanti

doi:10.1093/ije/dys222

Evaluation of inconsistency in networks of interventions

Areti Angeliki Veroniki, Haris S Vasiliadis, Julian P T Higgins, Georgia Salanti

Centre for Reviews and Dissemination

Research output: Contribution to journal › Article › peer-review

Abstract

The assumption of consistency, defined as agreement between direct and indirect sources of evidence, underlies the increasingly popular method of network meta-analysis. No evidence exists so far regarding the extent of inconsistency in full networks of interventions or the factors that control its statistical detection.

Original language	English
Article number	dys222
Pages (from-to)	332-45
Number of pages	14
Journal	International Journal of Epidemiology
Volume	42
Issue number	1
DOIs	https://doi.org/10.1093/ije/dys222
Publication status	Published - Feb 2013

Keywords

Humans
Intervention Studies
Meta-Analysis as Topic
Models, Statistical
Neural Networks (Computer)
Odds Ratio
Reproducibility of Results
Research Design
Treatment Outcome

Access to Document

10.1093/ije/dys222

Cite this

@article{da62e12fa6f1445db7f00f0e96989ab9,

title = "Evaluation of inconsistency in networks of interventions",

abstract = "The assumption of consistency, defined as agreement between direct and indirect sources of evidence, underlies the increasingly popular method of network meta-analysis. No evidence exists so far regarding the extent of inconsistency in full networks of interventions or the factors that control its statistical detection.",

keywords = "Humans, Intervention Studies, Meta-Analysis as Topic, Models, Statistical, Neural Networks (Computer), Odds Ratio, Reproducibility of Results, Research Design, Treatment Outcome",

author = "Veroniki, {Areti Angeliki} and Vasiliadis, {Haris S} and Higgins, {Julian P T} and Georgia Salanti",

year = "2013",

month = feb,

doi = "10.1093/ije/dys222",

language = "English",

volume = "42",

pages = "332--45",

journal = "International Journal of Epidemiology",

issn = "0300-5771",

publisher = "Oxford University Press",

number = "1",

}

TY - JOUR

T1 - Evaluation of inconsistency in networks of interventions

AU - Veroniki, Areti Angeliki

AU - Vasiliadis, Haris S

AU - Higgins, Julian P T

AU - Salanti, Georgia

PY - 2013/2

Y1 - 2013/2

N2 - The assumption of consistency, defined as agreement between direct and indirect sources of evidence, underlies the increasingly popular method of network meta-analysis. No evidence exists so far regarding the extent of inconsistency in full networks of interventions or the factors that control its statistical detection.

AB - The assumption of consistency, defined as agreement between direct and indirect sources of evidence, underlies the increasingly popular method of network meta-analysis. No evidence exists so far regarding the extent of inconsistency in full networks of interventions or the factors that control its statistical detection.

KW - Humans

KW - Intervention Studies

KW - Meta-Analysis as Topic

KW - Models, Statistical

KW - Neural Networks (Computer)

KW - Odds Ratio

KW - Reproducibility of Results

KW - Research Design

KW - Treatment Outcome

U2 - 10.1093/ije/dys222

DO - 10.1093/ije/dys222

M3 - Article

C2 - 23508418

SN - 0300-5771

VL - 42

SP - 332

EP - 345

JO - International Journal of Epidemiology

JF - International Journal of Epidemiology

IS - 1

M1 - dys222

ER -