Statistical Approaches for Quantifying the Quality of Neurosurgical Care.

Normand, Sharon-Lise T; Zelevinsky, Katya; Abing, Haley K; Horvitz-Lennon, Marcela

Normand, Sharon-Lise T; Zelevinsky, Katya; Abing, Haley K; Horvitz-Lennon, Marcela.

Afiliación

Normand ST; Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts, USA; Department of Biostatistics, Harvard Chan School of Public Health, Boston, Massachusetts, USA. Electronic address: sharon@hcp.med.harvard.edu.
Zelevinsky K; Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts, USA.
Abing HK; Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts, USA.
Horvitz-Lennon M; RAND Corporation, Boston, Massachusetts, USA; Cambridge Health Alliance, Cambridge, Massachusetts, USA.

World Neurosurg ; 161: 331-342.e1, 2022 05.

Article en En | MEDLINE | ID: mdl-35505552

Asunto(s)

Antipsicóticos; Negro o Afroamericano; Adulto; Etnicidad; Humanos; Medicaid; Estados Unidos; Población Blanca

Palabras clave

Item response theory model; Latent construct; Latent regression model; Schizophrenia

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Antipsicóticos / Negro o Afroamericano Tipo de estudio: Observational_studies Límite: Adult / Humans País/Región como asunto: America do norte Idioma: En Revista: World Neurosurg Asunto de la revista: NEUROCIRURGIA Año: 2022 Tipo del documento: Article

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