Sentence examples for models use logistic from inspiring English sources

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).

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.

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

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

Using a set of demographic and physiologic variables available within six hours of ICU admission, we developed two predictive models using logistic regression.

In neonatology, several studies have developed clinical prediction models, using logistic regression or consensus, to predict which preterm born infants are most likely to develop BPD [ 12- 14].

For both populations, we applied additive and recessive models using logistic regression, including the first four principal components and gender as covariates.