We consider the problem of spatially dependent areal data, where for each area independent observations are available, and propose to model density through a finite mixture Gaussian distributions. The spatial dependence is introduced via novel joint distribution collection vectors in simplex, that we term logisticMCAR. show salient features logisticMCAR can be described analytically, suitable a...

results the command is addpred for logistic regression models. conclusions the stata package provided herein can encourage the use of novel methods in examining predictive capacity of ever-emerging plethora of novel biomarkers. materials and methods we have written a stata command that is intended to help researchers obtain cut point-free and cut point-based net reclassification improvement ind...

background: we designed an algorithmic model based on the logistic regression analysis and a non-algorithmic model based on the artificial neural network (ann). materials and methods: the ability of these models was compared together in clinical application to differentiate malignant from benign breast tumors in a study group of 161 patients' records. each patient’s record consisted of 6 s...