Dynamic prediction modeling of postoperative mortality among patients undergoing surgical aortic valve replacement in a statewide cohort over a 12-year period.

Pollack, Jackie; Yang, Wei; Schnellinger, Erin M; Arnaoutakis, George J; Kallan, Michael J; Kimmel, Stephen E

Pollack, Jackie; Yang, Wei; Schnellinger, Erin M; Arnaoutakis, George J; Kallan, Michael J; Kimmel, Stephen E.

Afiliação

Pollack J; Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, Fla.
Yang W; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa.
Schnellinger EM; Research Department, United Network For Organ Sharing, Richmond, Va.
Arnaoutakis GJ; Division of Cardiovascular and Thoracic Surgery, University of Texas at Austin Dell Medical School, Austin, Tex.
Kallan MJ; Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa.
Kimmel SE; Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, Fla.

JTCVS Open ; 15: 94-112, 2023 Sep.

Article em En | MEDLINE | ID: mdl-37808034

Palavras-chave

clinical prediction model; dynamic logistic state space model; model recalibration; model updating; surgical aortic valve replacement

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: JTCVS Open Ano de publicação: 2023 Tipo de documento: Article País de publicação: Holanda

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