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

Haine, Lillian M F; Murry, Thomas A; Nahra, Raquel; Touloumi, Giota; Fernández-Cruz, Eduardo; Petoumenos, Kathy; Koopmeiners, Joseph S

Haine, Lillian M F; Murry, Thomas A; Nahra, Raquel; Touloumi, Giota; Fernández-Cruz, Eduardo; Petoumenos, Kathy; Koopmeiners, Joseph S.

Afiliación

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.

Biostatistics ; 2023 Sep 11.

Article en En | MEDLINE | ID: mdl-37697901

Palabras clave

Bayesian model averaging; Causal inference; Influenza; Propensity scores; Real-world data

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Clinical_trials / Observational_studies / Prognostic_studies Idioma: En Revista: Biostatistics Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

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