A Bayesian network meta-analysis for binary outcome: how to do it. (scientific article)

Performance of statistical methods for meta-analysis when true study effects are non-normally distributed: a comparison between DerSimonian-Laird and restricted maximum likelihood.

Q55056873

Systematic Reviews in Health Care

Q56528741

Bayesian measures of model complexity and fit

Q56532420

Using mixed treatment comparisons and meta-regression to perform indirect comparisons to estimate the efficacy of biologic treatments in rheumatoid arthritis

Q57995927

Users' Guides to the Medical Literature

Q58040953

Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews

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Evidence based medicine: what it is and what it isn't

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Measuring inconsistency in meta-analyses

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Quantifying heterogeneity in a meta-analysis

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A comparison of statistical methods for meta-analysis

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Performance of statistical methods for meta-analysis when true study effects are non-normally distributed: A simulation study

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Estimating the Dimension of a Model

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Combination of direct and indirect evidence in mixed treatment comparisons

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The results of direct and indirect treatment comparisons in meta-analysis of randomized controlled trials

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A comparison of summary patient-level covariates in meta-regression with individual patient data meta-analysis

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Individual patient- versus group-level data meta-regressions for the investigation of treatment effect modifiers: ecological bias rears its ugly head

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Species diversity or biodiversity?

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Indirect comparisons: a review of reporting and methodological quality

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Simultaneous comparison of multiple treatments: combining direct and indirect evidence.

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Bayesian methods for evidence synthesis in cost-effectiveness analysis

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A simulation study comparing properties of heterogeneity measures in meta-analyses

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Evaluation of networks of randomized trials

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Bayesian meta-analysis of multiple treatment comparisons: an introduction to mixed treatment comparisons

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Use of indirect and mixed treatment comparisons for technology assessment

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Methodological problems in the use of indirect comparisons for evaluating healthcare interventions: survey of published systematic reviews

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Mixed treatment comparison analysis provides internally coherent treatment effect estimates based on overviews of reviews and can reveal inconsistency

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Conducting indirect-treatment-comparison and network-meta-analysis studies: report of the ISPOR Task Force on Indirect Treatment Comparisons Good Research Practices: part 2.

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Accounting for correlation in network meta-analysis with multi-arm trials

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Ecological bias, confounding, and effect modification

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Validity of indirect comparison for estimating efficacy of competing interventions: empirical evidence from published meta-analyses

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Goodness-of-fit diagnostics for Bayesian hierarchical models

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Graphical methods and numerical summaries for presenting results from multiple-treatment meta-analysis: an overview and tutorial

Q44735204

Modeling between-trial variance structure in mixed treatment comparisons

Q45817322

Interpreting indirect treatment comparisons and network meta-analysis for health-care decision making: report of the ISPOR Task Force on Indirect Treatment Comparisons Good Research Practices: part 1.

Q46894544

Exploring the geometry of treatment networks.

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

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Prior specification in Bayesian statistics: three cautionary tales.

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Borrowing strength from external trials in a meta-analysis.

Q52287071

P433

issue

P921

main subject

Bayesian network

Q812540

meta-analysis

Q815382

P304

page(s)

1757-1773

P577

publication date

2013-10-28

P1433

published in

Statistical Methods in Medical Research

Q7604374

P1476

title

A Bayesian network meta-analysis for binary outcome: how to do it.

P478

volume

Reverse relations

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P356	DOI	10.1177/0962280213500185
P698	PubMed publication ID	23970014