Hierarchical normal mixture model to analyse HIV/AIDS los

Sara Simões Dias; Valeska Andreozzi; Maria Oliveira Martins

doi:10.1007/978-3-319-05323-3_21

Hierarchical normal mixture model to analyse HIV/AIDS los

Sara Simões Dias, Valeska Andreozzi, Maria Oliveira Martins

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Citation (Scopus)

Abstract

Inpatient length of stay (LOS) is an important measure of hospital activity and is often considered as a proxy of hospital resource consumption. In Portugal, hospitalizations related to HIV infection are some of the most expensive and the second major diagnosis category with greatest average LOS. This paper investigates factors associated with HIV/AIDS LOS. A hierarchical finite normal mixture model was fitted to the logarithm of LOS, to account for the inherent correlation of patients clustered in hospitals. We found that the model with two components had the best fit. In addition associated risk factors were identified for each component and the random effects make possible a comparison of relative efficiencies among hospitals.

Original language	English
Title of host publication	Studies in Theoretical and Applied Statistics, Selected Papers of the Statistical Societies
Publisher	Springer International Publishing
Pages	219-227
Number of pages	9
DOIs	https://doi.org/10.1007/978-3-319-05323-3_21
Publication status	Published - 1 Jan 2014

Publication series

Name	Studies in Theoretical and Applied Statistics, Selected Papers of the Statistical Societies
ISSN (Print)	2194-7767
ISSN (Electronic)	2194-7775

Keywords

Central Health System
Diagnosis Related Group
Large Positive Effect
Multilevel Structure Data
Urgent Admission

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/978-3-319-05323-3_21

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Dias, S. S., Andreozzi, V., & Martins, M. O. (2014). Hierarchical normal mixture model to analyse HIV/AIDS los. In Studies in Theoretical and Applied Statistics, Selected Papers of the Statistical Societies (pp. 219-227). (Studies in Theoretical and Applied Statistics, Selected Papers of the Statistical Societies). Springer International Publishing. https://doi.org/10.1007/978-3-319-05323-3_21

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abstract = "Inpatient length of stay (LOS) is an important measure of hospital activity and is often considered as a proxy of hospital resource consumption. In Portugal, hospitalizations related to HIV infection are some of the most expensive and the second major diagnosis category with greatest average LOS. This paper investigates factors associated with HIV/AIDS LOS. A hierarchical finite normal mixture model was fitted to the logarithm of LOS, to account for the inherent correlation of patients clustered in hospitals. We found that the model with two components had the best fit. In addition associated risk factors were identified for each component and the random effects make possible a comparison of relative efficiencies among hospitals.",

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Dias, SS, Andreozzi, V & Martins, MO 2014, Hierarchical normal mixture model to analyse HIV/AIDS los. in Studies in Theoretical and Applied Statistics, Selected Papers of the Statistical Societies. Studies in Theoretical and Applied Statistics, Selected Papers of the Statistical Societies, Springer International Publishing, pp. 219-227. https://doi.org/10.1007/978-3-319-05323-3_21

Hierarchical normal mixture model to analyse HIV/AIDS los. / Dias, Sara Simões; Andreozzi, Valeska; Martins, Maria Oliveira.
Studies in Theoretical and Applied Statistics, Selected Papers of the Statistical Societies. Springer International Publishing, 2014. p. 219-227 (Studies in Theoretical and Applied Statistics, Selected Papers of the Statistical Societies).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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AB - Inpatient length of stay (LOS) is an important measure of hospital activity and is often considered as a proxy of hospital resource consumption. In Portugal, hospitalizations related to HIV infection are some of the most expensive and the second major diagnosis category with greatest average LOS. This paper investigates factors associated with HIV/AIDS LOS. A hierarchical finite normal mixture model was fitted to the logarithm of LOS, to account for the inherent correlation of patients clustered in hospitals. We found that the model with two components had the best fit. In addition associated risk factors were identified for each component and the random effects make possible a comparison of relative efficiencies among hospitals.

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Dias SS, Andreozzi V, Martins MO. Hierarchical normal mixture model to analyse HIV/AIDS los. In Studies in Theoretical and Applied Statistics, Selected Papers of the Statistical Societies. Springer International Publishing. 2014. p. 219-227. (Studies in Theoretical and Applied Statistics, Selected Papers of the Statistical Societies). doi: 10.1007/978-3-319-05323-3_21

Hierarchical normal mixture model to analyse HIV/AIDS los

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Keywords

UN SDGs

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