Identifying inconsistency in network meta‐analysis: Is the net heat plot a reliable method?

A design-by-treatment interaction model for network meta-analysis and meta-regression with integrated nested Laplace approximations

(2018) Burak Kürsad Günhan et al.   Research Synthesis Methods

Paule-Mandel estimators for network meta-analysis with random inconsistency effects

(2017) Dan Jackson et al.   Research Synthesis Methods

Bayesian one-step IPD network meta-analysis of time-to-event data using Royston-Parmar models

(2017) Suzanne C. Freeman et al.   Research Synthesis Methods

Two new methods to fit models for network meta-analysis with random inconsistency effects

(2016) Martin Law et al.   BMC Medical Research Methodology

GetReal in network meta-analysis: a review of the methodology

(2016) Orestis Efthimiou et al.   Research Synthesis Methods

Extending DerSimonian and Laird's methodology to perform network meta-analyses with random inconsistency effects

(2015) Dan Jackson et al.   STATISTICS IN MEDICINE

Misunderstandings aboutQand ‘Cochran'sQtest' in meta-analysis

(2015) David C. Hoaglin   STATISTICS IN MEDICINE

Using Generalized Linear Mixed Models to Evaluate Inconsistency within a Network Meta-Analysis

(2015) Yu-Kang Tu   VALUE IN HEALTH

Automated generation of node-splitting models for assessment of inconsistency in network meta-analysis

(2015) Gert van Valkenhoef et al.   Research Synthesis Methods

Network-meta analysis made easy: detection of inconsistency using factorial analysis-of-variance models

(2014) Hans-Peter Piepho   BMC Medical Research Methodology

A design-by-treatment interaction model for network meta-analysis with random inconsistency effects

(2014) Dan Jackson et al.   STATISTICS IN MEDICINE

A graphical tool for locating inconsistency in network meta-analyses

(2013) Ulrike Krahn et al.   BMC Medical Research Methodology

Evaluation of inconsistency in networks of interventions

(2013) A. A. Veroniki et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

Evidence Synthesis for Decision Making 4

(2013) Sofia Dias et al.   MEDICAL DECISION MAKING

Assessing key assumptions of network meta-analysis: a review of methods

(2013) Sarah Donegan et al.   Research Synthesis Methods

Issues in performing a network meta-analysis

(2012) Stephen Senn et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Multivariate meta-analysis for non-linear and other multi-parameter associations

(2012) A. Gasparrini et al.   STATISTICS IN MEDICINE

Consistency and inconsistency in network meta-analysis: concepts and models for multi-arm studies

(2012) J. P. T. Higgins et al.   Research Synthesis Methods

Indirect and mixed-treatment comparison, network, or multiple-treatments meta-analysis: many names, many benefits, many concerns for the next generation evidence synthesis tool

(2012) Georgia Salanti   Research Synthesis Methods

Consistency and inconsistency in network meta-analysis: model estimation using multivariate meta-regression

(2012) Ian R. White et al.   Research Synthesis Methods

Linear inference for mixed treatment comparison meta-analysis: A two-stage approach

(2011) Guobing Lu et al.   Research Synthesis Methods

Meta-Analysis of Concomitant Versus Sequential Radiochemotherapy in Locally Advanced Non–Small-Cell Lung Cancer

(2010) Anne Aupérin et al.   JOURNAL OF CLINICAL ONCOLOGY

Checking consistency in mixed treatment comparison meta-analysis

(2010) S. Dias et al.   STATISTICS IN MEDICINE

Integration of evidence from multiple meta-analyses: a primer on umbrella reviews, treatment networks and multiple treatments meta-analyses

(2009) J. P.A. Ioannidis   CANADIAN MEDICAL ASSOCIATION JOURNAL

Addressing between-study heterogeneity and inconsistency in mixed treatment comparisons: Application to stroke prevention treatments in individuals with non-rheumatic atrial fibrillation

(2009) Nicola J. Cooper et al.   STATISTICS IN MEDICINE

Adjusted indirect comparison may be less biased than direct comparison for evaluating new pharmaceutical interventions

(2007) F. Song et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY