Evaluating Risk-Adjusted Hospital Performance Using Large-Scale Data on Mortality Rates of Patients in Intensive Care Units: A Flexible Semi-Nonparametric Modeling Approach.

Liang, Yakun; Jiang, Xuejun; Zhang, Bo

Liang, Yakun; Jiang, Xuejun; Zhang, Bo.

Afiliación

Liang Y; Department of Statistics and Data ScienceSouthern University of Science and Technology Shenzhen 518055 China.
Jiang X; Department of Statistics and Data ScienceSouthern University of Science and Technology Shenzhen 518055 China.
Zhang B; Department of Neurology and ICCTR Biostatistics and Research Design CenterBoston Children's Hospital, Harvard Medical School Boston MA 02115 USA.

IEEE J Transl Eng Health Med ; 11: 232-246, 2023.

Article en En | MEDLINE | ID: mdl-37051048

Asunto(s)

Unidades de Cuidados Intensivos; Medicare; Anciano; Humanos; Estados Unidos/epidemiología; Hospitales; Calidad de la Atención de Salud; Modelos Lineales

Palabras clave

Hospital random effects; ICU mortality; repeated measures; risk adjustment; zero-inflated models

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Medicare / Unidades de Cuidados Intensivos Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Humans País/Región como asunto: America do norte Idioma: En Revista: IEEE J Transl Eng Health Med Año: 2023 Tipo del documento: Article

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