A Markov chain approach for ranking treatments in network meta‐analysis-Reference-Cited by-同舟云学术

A Markov chain approach for ranking treatments in network meta‐analysis

Published:2020-10-26 Issue:2 Volume:40 Page:451-464
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Chaimani Anna¹²^ORCID,Porcher Raphaël¹,Sbidian Émilie³⁴,Mavridis Dimitris¹⁵^ORCID

Affiliation:

1. Université de Paris, Research Center of Epidemiology and Statistics (CRESS‐U1153) INSERM Paris France

2. Cochrane France Paris France

3. Université Paris‐Est Créteil UPEC, EpiDermE EA 7379 Créteil France

4. AP‐HP, Hôpitaux Universitaires Henri Mondor Département de Dermatologie, UPEC Créteil France

5. Department of Primary Education University of Ioannina Ioannina Greece

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8784

Reference32 articles.

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2. Uncertainty in Treatment Rankings: Reanalysis of Network Meta-analyses of Randomized Trials

3. Approaches to interpreting and choosing the best treatments in network meta-analyses

4. Is providing uncertainty intervals in treatment ranking helpful in a network meta-analysis?

5. Common pitfalls and mistakes in the set-up, analysis and interpretation of results in network meta-analysis: what clinicians should look for in a published article

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