A robust Bayesian bias‐adjusted random effects model for consideration of uncertainty about bias terms in evidence synthesis-Reference-Cited by-同舟云学术

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A robust Bayesian bias‐adjusted random effects model for consideration of uncertainty about bias terms in evidence synthesis

Published:2022-04-29 Issue:17 Volume:41 Page:3365-3379
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Raices Cruz Ivette¹²^ORCID,Troffaes Matthias C. M.³,Lindström Johan⁴,Sahlin Ullrika¹

Affiliation:

1. Centre for Environmental and Climate Science Lund University Lund Sweden

2. Department of Biology Lund University Lund Sweden

3. Department of Mathematical Sciences Durham University Durham United Kingdom

4. Centre for Mathematical Sciences Lund University Lund Sweden

Funder

Svenska Forskningsrådet Formas

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9422

Reference22 articles.

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

2. Cochrane Handbook for Systematic Reviews of Interventions

3. Evidence Synthesis for Decision Making 2

4. Comparative efficacy and safety of treatments for localised prostate cancer: an application of network meta-analysis

5. Bias modelling in evidence synthesis

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Bayesian bias‐adjusted random‐effects model for synthesizing evidence from randomized controlled trials and nonrandomized studies of interventions;Journal of Evidence-Based Medicine;2024-08-06

2. A Robust Bayesian Approach for Causal Inference Problems;Lecture Notes in Computer Science;2023-11-19

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