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Bayesian network meta-analysis methods for combining individual participant data and aggregate data from single arm trials and randomised controlled trials.
Singh, Janharpreet; Gsteiger, Sandro; Wheaton, Lorna; Riley, Richard D; Abrams, Keith R; Gillies, Clare L; Bujkiewicz, Sylwia.
Affiliation
  • Singh J; Biostatistics Research Group, Department of Health Sciences, University of Leicester, Leicester, UK. js929@leicester.ac.uk.
  • Gsteiger S; F. Hoffmann-La Roche Ltd, Basel, Switzerland.
  • Wheaton L; Biostatistics Research Group, Department of Health Sciences, University of Leicester, Leicester, UK.
  • Riley RD; Centre for Prognosis Research, School of Medicine, University of Keele, Staffordshire, UK.
  • Abrams KR; Department of Statistics, University of Warwick, Coventry, UK.
  • Gillies CL; Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK.
  • Bujkiewicz S; Biostatistics Research Group, Department of Health Sciences, University of Leicester, Leicester, UK.
BMC Med Res Methodol ; 22(1): 186, 2022 07 11.
Article in En | MEDLINE | ID: mdl-35818035
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Full text: 1 Database: MEDLINE Main subject: Network Meta-Analysis Type of study: Clinical_trials / Prognostic_studies / Systematic_reviews Limits: Humans Language: En Journal: BMC Med Res Methodol Journal subject: MEDICINA Year: 2022 Type: Article Affiliation country: United kingdom
Fulltext
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Full text: 1 Database: MEDLINE Main subject: Network Meta-Analysis Type of study: Clinical_trials / Prognostic_studies / Systematic_reviews Limits: Humans Language: En Journal: BMC Med Res Methodol Journal subject: MEDICINA Year: 2022 Type: Article Affiliation country: United kingdom