The aim of this paper is to estimate a finite mixture regression model with concomitant variable in order to individualize the factors that influence resistin levels in patients affected by virus hepatitis. Finite mixture regression models represent a flexible model class that can cover a wide range of applications. Assuming that a set of different distribution coexists in the outcome variables they are used to infer the existence of subpopulations.

Modeling resistin levels data by mixture of regression

GARGANO, Romana;ALIBRANDI, Angela
2009-01-01

Abstract

The aim of this paper is to estimate a finite mixture regression model with concomitant variable in order to individualize the factors that influence resistin levels in patients affected by virus hepatitis. Finite mixture regression models represent a flexible model class that can cover a wide range of applications. Assuming that a set of different distribution coexists in the outcome variables they are used to infer the existence of subpopulations.
2009
9788861294066
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11570/1890897
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