Sentence examples for methods including logistic from inspiring English sources

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.

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].

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

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.

Moreover, we welcome any further analysis of our database with other methods of forecasting, including logistic regression methods, neural networks, or support vector machines.

The results on a dataset are provided, together with the comparisons in terms of classification accuracy between the proposed approach and other methods that used the same dataset, including logistic regression, decision tree, neural networks, neuro-fuzzy classification, ant colony optimisation, memory-based reasoning, and ensemble model.

While visual methods bring clear benefits to qualitative research in terms of data quality, modes of expression, and alternate perspectives, challenges remain, including logistic issues of implementing visual study designs and ethical considerations.