Sentence examples for modelled by logistic from inspiring English sources

Statistical relationships between the distance from the nearest WUI area, and large forest fire incidents from satellite remote sensing were subsequently modelled by logistic regression analysis.

MoCA scores were modelled by logistic regression, as implemented in SPSS 22 for Windows (IBM Corporation, Armonk, New York, USA).

For each medical condition, the outcome, that is, patient status of dead/alive, was modelled by logistic regression of hospitals and case-mix variables.

Data were modelled by logistic regression, with adjustment forotal energy intake and established breast cancer risk factors, as well as mutual adjustment among the micronutrients.

Inherent mathematical properties in a model used may bias an effect measure such as an odds ratio modelled by logistic regression.

The outcome (use of a generic or not) was modelled by logistic regression, adjusted for patients' characteristics (gender, age, treatment complexity, substitution groups) and with several variables describing reimbursement incentives (deductible, co-payments) and the generics' market (prices, packaging, co-branded original, number of available generics, etc).

The spatial incidence of landslides, triggered by an extreme rainfall in a study area, was modeled by logistic regression.

The outcomes were modeled by logistic regression (responder outcome) and linear regression (future pain intensity outcome) using generalized estimating equations (with the AR1 correlation structure) to account for the repeated measures for the same subject [ 52– 52].

Briefly, an occurrence variable (O) that was modeled by logistic regression specifies whether or not people spent time at a location or in an activity; and for the non-zero values, a duration variable (D) that was modeled by normal or lognormal regression specifies how long people spent at a location or on an activity.

Once an adaptive mutation becomes established in the population by reaching a population frequency x ≈ (2 Ns)−1 that ensures its escape from future stochastic loss (Maynard Smith 1971), its frequency trajectory can be modeled by logistic growth (1) x (t ) = e s t e s t + 2 N s.

Also, and in order to mimic the distribution of LINE-1 methylation levels in tertiles using a continuous variable, the association between the absolute deviation (continuous) from the median LINE-1 methylation level was modeled by logistic regression unadjusted and adjusted for age, sex, region and smoking status.