Graphical tools for network meta-analysis in STATA. (Q35009612)

5 August 2017

title

Graphical tools for network meta-analysis in STATA. (English)

1 reference

5 August 2017

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Anna Chaimani

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Georgia Salanti

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Julian P T Higgins

1 reference

5 August 2017

Dimitris Mavridis

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5 August 2017

Panagiota Spyridonos

series ordinal

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5 August 2017

language of work or name

English

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publication date

3 October 2013

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5 August 2017

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5 August 2017

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5 August 2017

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5 August 2017

page(s)

e76654

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Creative Commons Attribution 4.0 International

5 August 2017

start time

3 October 2013

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April 2022 Public Data File from Crossref

copyrighted

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cites work

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

8 July 2018

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Graphical displays for meta-analysis: An overview with suggestions for practice

8 July 2018

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

8 July 2018

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Evaluation of inconsistency in networks of interventions

8 July 2018

1 reference

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A graphical tool for locating inconsistency in network meta-analyses.

8 July 2018

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A fully Bayesian application of the Copas selection model for publication bias extended to network meta-analysis

8 July 2018

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Quantifying the impact of between-study heterogeneity in multivariate meta-analyses

8 July 2018

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A practical introduction to multivariate meta-analysis.

8 July 2018

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Comparative efficacy and acceptability of antimanic drugs in acute mania: a multiple-treatments meta-analysis

8 July 2018

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Network meta-analysis-highly attractive but more methodological research is needed

8 July 2018

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Multivariate meta-analysis: potential and promise

8 July 2018

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Indirect comparisons: a review of reporting and methodological quality

8 July 2018

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Checking consistency in mixed treatment comparison meta-analysis

8 July 2018

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A network meta-analysis of randomized controlled trials of biologics for rheumatoid arthritis: a Cochrane overview

8 July 2018

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

8 July 2018

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Percutaneous coronary interventions for non-acute coronary artery disease: a quantitative 20-year synopsis and a network meta-analysis

8 July 2018

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A case study of multiple-treatments meta-analysis demonstrates that covariates should be considered

8 July 2018

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Graphical exploration of network meta-analysis data: the use of multidimensional scaling

8 July 2018

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

8 July 2018

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Evaluation of networks of randomized trials

8 July 2018

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Combination of direct and indirect evidence in mixed treatment comparisons

8 July 2018

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Bias in meta-analysis detected by a simple, graphical test

8 July 2018

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

8 July 2018

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8 July 2018

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

8 July 2018

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More than numbers: the power of graphs in meta-analysis.

21 January 2018

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

21 January 2018

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Assessing publication bias in meta-analyses in the presence of between-study heterogeneity

21 January 2018

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Using network meta-analysis to evaluate the existence of small-study effects in a network of interventions.

21 January 2018

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Interpretation of random effects meta-analyses.

21 January 2018

1 reference

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A re-evaluation of random-effects meta-analysis.

21 January 2018

1 reference

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21 January 2018

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Conceptual and Technical Challenges in Network Meta-analysis

21 January 2018

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

21 January 2018

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https://api.crossref.org/works/10.1371%2FJOURNAL.PONE.0076654

Bias and Efficiency of Meta-Analytic Variance Estimators in the Random-Effects Model

21 January 2018

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https://api.crossref.org/works/10.1371%2FJOURNAL.PONE.0076654

Network meta-analysis for indirect treatment comparisons

21 January 2018

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/24098547

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Network meta-analysis, electrical networks and graph theory

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/24098547

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.1371/JOURNAL.PONE.0076654

1 reference

5 August 2017

0 references

1 reference

5 August 2017

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