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.File in questo prodotto:
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