Combining randomized and non-randomized evidence in network meta-analysis
Published 2017 View Full Article
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Title
Combining randomized and non-randomized evidence in network meta-analysis
Authors
Keywords
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Journal
STATISTICS IN MEDICINE
Volume 36, Issue 8, Pages 1210-1226
Publisher
Wiley
Online
2017-01-13
DOI
10.1002/sim.7223
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- (2016) Thomas PA Debray et al. STATISTICAL METHODS IN MEDICAL RESEARCH
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- (2015) George C M Siontis et al. LANCET
- Addressing potential prior-data conflict when using informative priors in proof-of-concept studies
- (2015) Timothy Mutsvari et al. PHARMACEUTICAL STATISTICS
- Planning future studies based on the precision of network meta-analysis results
- (2015) Adriani Nikolakopoulou et al. STATISTICS IN MEDICINE
- The power prior: theory and applications
- (2015) Joseph G. Ibrahim et al. STATISTICS IN MEDICINE
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- (2014) Heinz Schmidli et al. BIOMETRICS
- Joint synthesis of multiple correlated outcomes in networks of interventions
- (2014) O. Efthimiou et al. BIOSTATISTICS
- Characteristics of a loop of evidence that affect detection and estimation of inconsistency: a simulation study
- (2014) Areti Angeliki Veroniki et al. BMC Medical Research Methodology
- Characteristics of Networks of Interventions: A Description of a Database of 186 Published Networks
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- (2014) Fiona C. Warren et al. STATISTICS IN MEDICINE
- An approach for modelling multiple correlated outcomes in a network of interventions using odds ratios
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- (2014) Pablo E. Verde et al. Research Synthesis Methods
- A graphical tool for locating inconsistency in network meta-analyses
- (2013) Ulrike Krahn et al. BMC Medical Research Methodology
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- Evidence Synthesis for Decision Making 4
- (2013) Sofia Dias et al. MEDICAL DECISION MAKING
- Graphical Tools for Network Meta-Analysis in STATA
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- Non-randomized studies as a source of complementary, sequential or replacement evidence for randomized controlled trials in systematic reviews on the effects of interventions
- (2013) Holger J. Schünemann et al. Research Synthesis Methods
- An introduction to methodological issues when including non-randomised studies in systematic reviews on the effects of interventions
- (2013) Barnaby C. Reeves et al. Research Synthesis Methods
- Evidence Synthesis for Decision Making 2
- (2012) Sofia Dias et al. MEDICAL DECISION MAKING
- Network meta-analysis models to account for variability in treatment definitions: application to dose effects
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- Quantifying the impact of between-study heterogeneity in multivariate meta-analyses
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- (2012) Jeffrey C. Valentine et al. Research Synthesis Methods
- Graphical methods and numerical summaries for presenting results from multiple-treatment meta-analysis: an overview and tutorial
- (2010) Georgia Salanti et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Estimation and adjustment of bias in randomized evidence by using mixed treatment comparison meta-analysis
- (2010) S. Dias et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY
- Checking consistency in mixed treatment comparison meta-analysis
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- A case study of multiple-treatments meta-analysis demonstrates that covariates should be considered
- (2009) Georgia Salanti et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- 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
- A note on the power prior
- (2009) Beat Neuenschwander et al. STATISTICS IN MEDICINE
- The BUGS project: Evolution, critique and future directions
- (2009) David Lunn et al. STATISTICS IN MEDICINE
- Models for potentially biased evidence in meta-analysis using empirically based priors
- (2008) N. J. Welton et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY
- Bias modelling in evidence synthesis
- (2008) Rebecca M. Turner et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY
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