Bayesian network meta-analysis methods for combining individual participant data and aggregate data from single arm trials and randomised controlled trials.

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第一作者： Janharpreet,Singh

第一单位： Biostatistics Research Group, Department of Health Sciences, University of Leicester, Leicester, UK. js929@leicester.ac.uk.

作者： Janharpreet,Singh ^[1] ; Sandro,Gsteiger ^[2] ; Lorna,Wheaton ^[3] ; Richard D,Riley ^[4] ; Keith R,Abrams ^[5] ; Clare L,Gillies ^[6] ; Sylwia,Bujkiewicz ^[3]

作者单位： Biostatistics Research Group, Department of Health Sciences, University of Leicester, Leicester, UK. js929@leicester.ac.uk. ^[1] F. Hoffmann-La Roche Ltd, Basel, Switzerland. ^[2] Biostatistics Research Group, Department of Health Sciences, University of Leicester, Leicester, UK. ^[3] Centre for Prognosis Research, School of Medicine, University of Keele, Staffordshire, UK. ^[4] Department of Statistics, University of Warwick, Coventry, UK. ^[5] Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK. ^[6]

关键词 Arm-based methods Bayesian hierarchical methods Evidence synthesis Individual participant data Network meta-analysis Observational evidence Rheumatoid arthritis Single-arm trials

主题词抗风湿药(Antirheumatic Agents);关节炎, 类风湿(Arthritis, Rheumatoid);贝叶斯定理(Bayes Theorem);人类(Humans);随机对照试验(主题)(Randomized Controlled Trials as Topic);综述文献(主题)(Review Literature as Topic)

DOI 10.1186/s12874-022-01657-y

PMID 35818035

发布时间 2025-01-22

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