Modeling general practitioners' total drug costs through GAMLSS and collective risk models

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<dc:creator>Clemente, Gian Paolo </dc:creator>
<dc:date>2023-12-05</dc:date>
<dc:description xml:lang="es">Sumario: Monitoring general practitioner prescribing costs is an important topic in order to efficiently allocate National Health Insurance resources. Using generalized additive models for location, scale, and shape with random effects, we investigate how second-order variables, related to patients, contribute to estimating the frequency, severity, and hence the total amount of costs</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/183255.do</dc:identifier>
<dc:language>eng</dc:language>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Cálculo actuarial</dc:subject>
<dc:subject xml:lang="es">Análisis de datos</dc:subject>
<dc:subject xml:lang="es">Gastos médicos</dc:subject>
<dc:subject xml:lang="es">Predicciones estadísticas</dc:subject>
<dc:subject xml:lang="es">Seguridad Social</dc:subject>
<dc:type xml:lang="es">Artículos y capítulos</dc:type>
<dc:title xml:lang="es">Modeling general practitioners' total drug costs through GAMLSS and collective risk models</dc:title>
<dc:relation xml:lang="es">En: North American actuarial journal. - Schaumburg : Society of Actuaries, 1997- = ISSN 1092-0277. - 05/12/2022 Tomo 26 Número 4 - 2022 , p. 610-625</dc:relation>
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