Artículo
An application of mixture distributions in modelization of length of hospital stay
Autor/es | Atienza Martínez, María Nieves
García Heras, Joaquín Muñoz Pichardo, Juan Manuel Villa Caro, Rafael |
Departamento | Universidad de Sevilla. Departamento de Matemática Aplicada I (ETSII) Universidad de Sevilla. Departamento de Estadística e Investigación Operativa Universidad de Sevilla. Departamento de Análisis Matemático |
Fecha de publicación | 2008 |
Fecha de depósito | 2021-06-23 |
Publicado en |
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Resumen | Length of hospital stay (LOS) is an important indicator of the hospital activity and management of health
care. The skewness exhibited by this variable poses problems in statistical modeling. The aim of this work
is to ... Length of hospital stay (LOS) is an important indicator of the hospital activity and management of health care. The skewness exhibited by this variable poses problems in statistical modeling. The aim of this work is to model the variable LOS within diagnosis-related groups (DRG) through finite mixtures of distributions. A mixture of the union of Gamma, Weibull and Lognormal families is used in the model, instead of a mixture of a unique distribution family. Some theoretical questions regarding the model, such as the identifiability and study of asymptotic properties of ML estimators, are analyzed. The EM algorithm is proposed for performing these estimators. Finally, this new proposed model is illustrated by using data from different DRGs. |
Agencias financiadoras | Ministerio de Educación y Ciencia (MEC). España Dirección General de Enseñanza Superior (DGES). España |
Identificador del proyecto | MTM2004-01433
BFM2006-1409 |
Cita | Atienza Martínez, M.N., García Heras, J., Muñoz Pichardo, J.M. y Villa Caro, R. (2008). An application of mixture distributions in modelization of length of hospital stay. Statistics in Medicine, 27 (9), 1403-1420. |
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