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Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

The following six machine learning models were developed to predict ADH upgrade from core needle biopsy: gradient-boosting trees, random forest, radial support vector machine (SVM), weighted K-nearest ...

A mathematical model utilizing the geometric distribution for analyzing time-to-response data is described. This model takes into account concomitant information by means of a multivariate logistic ...