← Back to Search
Combination Of Direct And Indirect Evidence In Mixed Treatment Comparisons.
G. Lu, A. Ades
Published 2004 · Medicine, Mathematics
Download PDFAnalyze on Scholarcy
Mixed treatment comparison (MTC) meta-analysis is a generalization of standard pairwise meta-analysis for A vs B trials, to data structures that include, for example, A vs B, B vs C, and A vs C trials. There are two roles for MTC: one is to strengthen inference concerning the relative efficacy of two treatments, by including both 'direct' and 'indirect' comparisons. The other is to facilitate simultaneous inference regarding all treatments, in order for example to select the best treatment. In this paper, we present a range of Bayesian hierarchical models using the Markov chain Monte Carlo software WinBUGS. These are multivariate random effects models that allow for variation in true treatment effects across trials. We consider models where the between-trials variance is homogeneous across treatment comparisons as well as heterogeneous variance models. We also compare models with fixed (unconstrained) baseline study effects with models with random baselines drawn from a common distribution. These models are applied to an illustrative data set and posterior parameter distributions are compared. We discuss model critique and model selection, illustrating the role of Bayesian deviance analysis, and node-based model criticism. The assumptions underlying the MTC models and their parameterization are also discussed.
This paper references
Meta-analysis of Multitreatment Studies
V. Hasselblad (1998)
Modeling in Medical Decision Making: A Bayesian Approach
G. Parmigiani (2002)
Borrowing strength from external trials in a meta-analysis.
J. Higgins (1996)
Validity of indirect comparison for estimating efficacy of competing interventions: empirical evidence from published meta-analyses
F. Song (2003)
Network meta-analysis for indirect treatment comparisons.
T. Lumley (2002)
Meta-Analysis of Controlled Clinical Trials
A. Whitehead (2002)
Report of the Editors—2001
A. Davison (2002)
The results of direct and indirect treatment comparisons in meta-analysis of randomized controlled trials.
H. Bucher (1997)
Meta-analytic Tools for Medical Decision Making: A Practical Guide
V. Hasselblad (1995)
Meta-Analysis of Migraine Headache Treatments: Combining Information from Heterogeneous Designs
F. Dominici (1999)
"The challenge of meta-analysis": discussion. Indications and contra-indications for meta-analysis.
N. Victor (1995)
A general parametric approach to the meta-analysis of randomized clinical trials.
A. Whitehead (1991)
Inference from Iterative Simulation Using Multiple Sequences
A. Gelman (1992)
The analysis of binary data
D. R. Cox (1970)
Markov Chain Monte Carlo in Practice
Walter R. Gilks (1997)
A bivariate approach to meta-analysis.
H. V. van Houwelingen (1993)
Prevention of first bleeding in cirrhosis. A meta-analysis of randomized trials of nonsurgical treatment.
L. Pagliaro (1992)
Bayesian analysis in expert systems
D. Spiegelhalter (1993)
Meta-analysis by the confidence profile method
D. Eddy (1992)
The Analysis of Variance.
H. Scheffé (1959)
Bayesian approaches to random-effects meta-analysis: a comparative study.
T. C. Smith (1995)
Bayesian measures of model complexity and fit
D. Spiegelhalter (2002)
Information Theory and an Extension of the Maximum Likelihood Principle
H. Akaike (1973)
A chain of evidence with mixed comparisons: models for multi-parameter synthesis and consistency of evidence.
A. Ades (2003)
Residuals and Influence in Regression
R. Cook (1982)
Bayesian random effects meta-analysis of trials with binary outcomes: methods for the absolute risk difference and relative risk scales.
D. Warn (2002)
Random Effects Models for Combining Results from Controlled and Uncontrolled Studies in a Meta-Analysis
Z. Li (1994)
This paper is referenced by
Comparative ef fi cacy of pharmacological and non-pharmacological interventions in fi bromyalgia syndrome : network meta-analysis
E. Nüesch (2012)
STATISTICAL AND GRAPHICAL EVIDENCE SYNTHESIS METHODS IN HEALTH TECHNOLOGY ASSESSMENT
S. Tan (2016)
Milnacipran versus other antidepressive agents for depression.
A. Nakagawa (2009)
Indirect comparison of anti-TNF-α agents for active ankylosing spondylitis: mixed treatment comparison of randomized controlled trials.
T. Shu (2013)
Ef fi cacy and safety of long-acting β-agonist / long-acting muscarinic antagonist combinations in COPD : a network meta-analysis
Y. Oba (2015)
Meta-Analysis in Epidemiology
M. Blettner (2005)
Comparative efficacy and acceptability of antidepressants, psychological interventions, and their combination for depressive disorder in children and adolescents: protocol for a network meta-analysis
X. Zhou (2017)
Automating network meta-analysis.
Gert van Valkenhoef (2012)
Comparative Tolerability and Harms of Individual Statins: A Study-Level Network Meta-Analysis of 246 955 Participants From 135 Randomized, Controlled Trials
H. Naci (2013)
Comparative effectiveness of renin-angiotensin system blockers and other antihypertensive drugs in patients with diabetes: systematic review and bayesian network meta-analysis
Hon-Yen Wu (2013)
NETWORK META-ANÁLISE DO USO DE PROBIÓTICOS NA PREVENÇÃO DE INFECÇÕES RESPIRATÓRIAS EM CRIANÇAS E ADOLESCENTES
M. Amaral (2015)
Efficacy of indacaterol 75 μg versus fixed-dose combinations of formoterol-budesonide or salmeterol-fluticasone for COPD: a network meta-analysis
Shannon Cope (2012)
Network meta‐analysis of studies included in the Clinical Practice Guideline on the nonsurgical treatment of chronic periodontitis
M. John (2017)
Adverse Effects of Second-Generation Antipsychotics in Children and Adolescents: A Bayesian Meta-Analysis
D. Cohen (2012)
Conducting indirect-treatment-comparison and network-meta-analysis studies: report of the ISPOR Task Force on Indirect Treatment Comparisons Good Research Practices: part 2.
D. Hoaglin (2011)
A Bayesian network meta-analysis on second-line systemic therapy in advanced gastric cancer
X. Zhu (2016)
Place des comparaisons indirectes dans l’évaluation des médicaments en vue de leur accès au remboursement en France
Marine Guichard (2015)
A protocol for systematic review and network meta-analyses
Feng-wen Yang (2018)
A network meta-analysis of surgical treatment in patients with early breast cancer.
Yu Gui (2019)
Efficacy and safety of antiepileptic drugs for refractory partial-onset epilepsy: a network meta-analysis
Qingting Hu (2017)
ANOVA model for network meta-analysis of diagnostic test accuracy data
Victoria N Nyaga (2018)
The relative efficacy of boceprevir and telaprevir in the treatment of hepatitis C virus genotype 1.
J. Kieran (2013)
The Efficacy and Safety of Pharmacological Prophylaxis of Venous Thromboembolism Following Elective Knee or Hip Replacement
A. Cohen (2012)
Comparative efficacy and safety of treatment options for MDR and XDR Acinetobacter baumannii infections: a systematic review and network meta-analysis
K. Kengkla (2018)
Percutaneous closure of patent foramen ovale in patients with cryptogenic embolism: a network meta-analysis.
S. Stortecky (2015)
Labour induction with prostaglandins: a systematic review and network meta-analysis
Ž. Alfirević (2015)
Methodological considerations in network meta-analysis
S. Hassan (2015)
Comparative efficacy and acceptability of antiepileptic drugs for classical trigeminal neuralgia: a Bayesian network meta-analysis protocol
Zongshi Qin (2018)
The protective effect of ophthalmic viscoelastic devices on endothelial cell loss during cataract surgery: a meta-analysis using mixed treatment comparisons
A. van den Bruel (2009)
Comparisons of the Efficacy and Safety of Finasteride and Dutasteride for Benign Prostatic Hyperplasia: A Network Meta-Analysis
Ting Yin (2017)
Transcatheter closure, mini-invasive closure and open-heart surgical repair for treatment of perimembranous ventricular septal defects in children: a protocol for a network meta-analysis
T. You (2017)
Comparative Effectiveness of Pharmacologic Interventions for Knee Osteoarthritis
R. Bannuru (2015)See more