In the recent years, there has been growing interest in the development of statistical methods useful in the detection of disease cases related to environmental pollution. Our starting point is an inhomogeneous Poisson point process model for the spatial variation in the incidence of cases and controls in a designated geographic region, as proposed by Diggle. In this paper we focus on a particular model with directional effects to analyse the health risk around a point source. In order to evaluate the adequacy of the proposed model we perform a Monte Carlo simulation study. In particular we analyse the maximum likelihood estimators properties of the model parameters.
L'incidenza dei fattori ambientali sul rischio di malattia: un modello anisotropico
NISSI, Eugenia;SARRA, Annalina
2004-01-01
Abstract
In the recent years, there has been growing interest in the development of statistical methods useful in the detection of disease cases related to environmental pollution. Our starting point is an inhomogeneous Poisson point process model for the spatial variation in the incidence of cases and controls in a designated geographic region, as proposed by Diggle. In this paper we focus on a particular model with directional effects to analyse the health risk around a point source. In order to evaluate the adequacy of the proposed model we perform a Monte Carlo simulation study. In particular we analyse the maximum likelihood estimators properties of the model parameters.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
