Sentence examples for models using logistic from inspiring English sources

Finite element simulation results are further employed to derive fragility models using logistic regression.

In this study, we established wildfire susceptibility models using logistic regression, probit regression, an ANN, a RF algorithm (RF-original), and a cost-sensitive RF algorithm (RF-cost sensitive).

Initially, allelic and genotypic Fisher's Exact tests were performed, and only those associations with a p≤10−3 in either test were followed-up with additive, dominant, and recessive genotypic models, using logistic regression.

We created four prediction models using logistic regression.

We developed four models using logistic regression with stepwise removal.

Associations between site-specific relapse and patient/tumour characteristics were assessed with multivariate models using logistic regression.

Multivariable models used logistic regression and were run in Stata's "svy" mode to account for weights.

Most models use logistic regression, with a cardinal assumption being linearity in the relationship between continuous predictors (for example, blood pressure) and the log odds of outcome (death).

Costs and QALYs were modelled using generalized linear models whilst MACE was modelled using logistic regression.

Fragility analysis is subsequently conducted using curves modelled with log-normal complementary cumulative distribution functions and surfaces modelled using logistic regression.

After describing the relationships between explanatory variables, we built a multivariate model using logistic Generalized Linear Models (GLMs) and estimated parameters with a Generalized Estimating Equations (GEE) procedure.