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Semi-supervised mixture multi-source exchangeability model for leveraging real-world data in clinical trials.

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Title: Semi-supervised mixture multi-source exchangeability model for leveraging real-world data in clinical trials.
Authors: Haine LMF; Division of Biostatistics, University of Minnesota, Minneapolis, MN, 55414, USA., Murry TA; Division of Biostatistics, University of Minnesota, Minneapolis, MN, 55414, USA., Nahra R; Cooper Medical School of Rowan University and Medicine, Division of Infectious Diseases, Cooper University Hospital, Camden, New Jersey, 08103, USA., Touloumi G; Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National & Kapodistrian University of Athens, 11527 Athens, Greece., Fernández-Cruz E; Department of Immunology, Internal Medicine, and Pathology, Hospital General, Universitario Gregorio Marañón, Madrid, 28007, Spain., Petoumenos K; The Kirby Institute, University of New South Wales, Sydney, 2052, Australia., Koopmeiners JS; Division of Biostatistics, University of Minnesota, Minneapolis, MN, 55414, USA.
Source: Biostatistics (Oxford, England) [Biostatistics] 2024 Jul 01; Vol. 25 (3), pp. 617-632.
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 100897327 Publication Model: Print Cited Medium: Internet ISSN: 1468-4357 (Electronic) Linking ISSN: 14654644 NLM ISO Abbreviation: Biostatistics Subsets: MEDLINE
Database: MEDLINE Ultimate
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