Search results for "Binary logistic regression"
showing 3 items of 13 documents
Probabilité d'apparition d'un phénomène parasitaire et choix de modèles de régression logistique
2007
Epidemiological processes are now using spatial statistics and modelling tools. The main objective of most health risks studies consists in identifying potential contamination sources and factors capable of explaining their localization. Health data often prove binary (typically presence/absence) and specific methods such as binary logistic regression have to be used. This method's output consists in a probability for the pathogen of interest. A posterior classification of each sample is then conducted using a probability threshold. The method used to maximize this threshold is called the ROC curve which consists in giving a representation of the behaviour of the model and then to choose th…
Landslide susceptibility zonation by exploiting GIS tools and two statistical methods: binary logistic regression and multivariate adaptive regressio…
2013
In the recent years advanced statistical methods and GIS tools have been frequently used to assess landslide susceptibility. The latter is estimated by establishing statistical relationships between landscape characteristics and spatial distribution of past slope-failures. These are mapped mainly by recognizing changes on slope morphology produced by gravity. Despite of this, most of the researches on landslide susceptibility do not consider that slope-failures modify topography and associate high probability of landsliding with topographic characteristics that differ from those that led slope-failures. In this research we analyzed landslide susceptibility in the basin of the Malvello river…
Paysage et risque sanitaire - Le cas de l'echinococcose alvéolaire. Approche multiscalaire
2005
Echinococcus multilocularis is a parasite of public health importance causing the fatal zoonotic disease alveolar echinococcosis. The parasite's eggs are dispersed in the environment through the fox faeces. Epidemiological issues associated with the disease led to the monitoring of the endemic status in foxes in France and in Europe. Fox faeces collected in the field were tested for the presence of the parasite and assembled in a georeferenced database. GIS-assisted analysis investigated relationships between landscape characteristics and potential risk. Three scale levels were successively explored. In the french Doubs département located in a high endemicity area, binary logistic regressi…