Sentence examples for methods for variables from inspiring English sources

A total of 136 patients were included in the multivariate logistic regression model to determine factors associated with steatosis on ultrasound (see Methods for variables included in the model).

Two simulation studies were used to investigate the performance of hypothesis tests and confidence interval methods for variables with outcomes {0, 1, 2}, {0, 1, 2, 3}, {0, 1, 2, 3, 4}, and {0, 1, 2, 3, 4, 5}, using the difference between the means as an effect measure.

Finally, mechatronic actuation design methods for variable geometry and other air handling devices are proposed.

The approach also allows for defining a subset of relevant observable predictor variables spanning the relevant latent subspace, which is handy for exploring methods for variable selection.

Nowadays numerical methods for variable-order fractional differential equations, which mainly cover finite difference methods [18 26], spectral methods [27 29], matrix methods [30, 31], reproducing kernel methods [32, 33], and so on, have been studied extensively by many researchers.

Fatigue assessment methods for variable amplitude loading of welded structures based on S N or crack propagation analysis are explained including the important features of load sequence effects and the influence of variable amplitude loading on small crack growth.

Moreover, a study had to provide a description about recruitment of participants and methods for variable selection.

One of the promising methods for variable selection is the elastic net proposed by Zou and Hastie (2005).

Aiming at informing clinical interventions or vaccine design, methods for variable selection identifying those variables with the optimal prediction performance for a specific outcome are crucial.

Novel statistical methods for variable screening should be developed to optimally select SNPs and CNVs across the genome for disease risk prediction.

Insights obtained from this study can be used to design automated methods for variable selection and outcome prediction in a clinical setting.