Decision Trees Regression: Decision tree regression uses a tree-like model to predict continuous numerical values and is ideal for use over logistic regression when categorical outcomes are not ...

The random forest model significantly outperformed all other models, including the logistic regression model that the entire paper focuses on, with an eventual AUC of 0.936 and an accuracy of 0.918.

In these kinds of situations, we would prefer a model that is easy to interpret, such as the logistic regression model. The Delta-p statistics makes the interpretation of the coefficients even easier.

The model can naturally account for sampling variabilities and zero observations and also allow for a flexible covariance structure among the bacterial taxa. In order to select the relevant covariates ...

A three-parameter family of survival models is introduced. The base-line density is derived and the main properties of the model, including a frailty interpretation, are discussed. Several different ...

Data from 1,066 patients recruited from nine European centers were included in the analysis; 800 patients (75%) had benign tumors and 266 (25%) had malignant tumors. The most useful independent ...