Modelling inpatient length of stay by a hierarchical mixture regression via the EM algorithm.

DOI10.1016/S0895-7177(03)00012-8zbMath1039.62104MaRDI QIDQ1410978

Andy H. Lee, Shu-Kay Ng, Kelvin. K. W. Yau

Publication date: 15 October 2003

Published in: Mathematical and Computer Modelling (Search for Journal in Brave)

zbMATH Keywords

EM algorithmRandom effectsMixture distributionClustered dataGeneralized linear mixed modelsNeonatal LOS data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Related Items (1)

Two-component Poisson mixture regression modelling of count data with bivariate random effects

Uses Software

• minpack

Cites Work

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• Geriatric-patient flow-rate modelling
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