Sentence examples for methods include logistic from inspiring English sources

To describe zero versus nonzero CAC values, existing methods include logistic regression [5], relative risk regression, and others.

This study performed a wildfire susceptibility assessment using multiple methods, including logistic regression, probit regression, an artificial neural network, and a random forest (RF) algorithm.

Students will explore and implement several learning methods, including logistic regression, Bayesian classification, decision trees, and feed-forward neural networks, and will incorporate strategies for addressing the issues impacting performance (e.g., regularization, clustering, and dimensionality reduction).

In addition to the PLR model, we also evaluated the performance of other methods, including Logistic Regression (LR), Random Forest (RF) and Support Vector Machine (SVM).

She is currently a Lecturer in Statistics and Research Methods at Jacobs University Bremen, Germany, where she teaches the traditional statistical methods (including logistic regression) and meta-analysis.

For studying the effect of feature selection on prediction performance, we used five statistical methods including logistic regression, linear discriminant analysis, penalized regression and data mining methods including support vector machine and random forest.

Several classification methods, including logistic regression model, random forest, support vector machine (SVM), and Bayes tree, were used to construct effective diagnosis models for cancer prediction based on MSD-SNuPET results.

Nearly all studies reviewed used statistical analysis methods including logistic regression using Cox-regression analysis or a proportional hazard models to adjust for confounders [ 2, 20, 33, 39, 47, 62, 74, 92, 95, 106, 108].

Several studies have tried to understand the reasons for this slow progress, employing a range of methods including logistic regression models [ 2- 4], cross tabulations [ 5], principal component analysis, and simultaneous multiple regression models [ 6].

Interpretable techniques known as white box methods including logistic regression and decision trees as well as less interpreitable techniques known as black box methods, such as support vector machines (SVM), random forests and AdaBoost, were used to develop models (trained and validated on unseen data) to diagnose AMD.

Other methods included logistic regression to investigate any possible trends in mortality rates over the 12 year study period, Spearman's rank correlations to investigate any association between monthly mortality and hospital admission rates, and the t-test to compare the ages of patients with different aetiologies of acute pancreatitis.