Simultaneous spatial smoothing and outlier detection using penalized regression, with application to childhood obesity surveillance from electronic health records.

Choi, Young-Geun; Hanrahan, Lawrence P; Norton, Derek; Zhao, Ying-Qi

Choi, Young-Geun; Hanrahan, Lawrence P; Norton, Derek; Zhao, Ying-Qi.

Afiliación

Choi YG; Department of Statistics, Sookmyung Women's University, Seoul, South Korea.
Hanrahan LP; Department of Family Medicine, and Community Health, University of Wisconsin-Madison, Madison, Wisconsin.
Norton D; Department of Biostatistics, and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin.
Zhao YQ; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.

Biometrics ; 78(1): 324-336, 2022 03.

Article en En | MEDLINE | ID: mdl-33215685

Asunto(s)

Registros Electrónicos de Salud; Obesidad Infantil; Algoritmos; Niño; Simulación por Computador; Humanos; Funciones de Verosimilitud; Obesidad Infantil/epidemiología

Palabras clave

childhood obesity surveillance; disease mapping; electronic health records; fusion penalty; outlier detection; sparse penalty

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Registros Electrónicos de Salud / Obesidad Infantil Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Child / Humans Idioma: En Revista: Biometrics Año: 2022 Tipo del documento: Article País de afiliación: Corea del Sur

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