Multiple binomial logistic regression approach was used for modelling, and the model performance was assessed by the area under the receiver operating characteristics (ROC) curve. About 320 km², 25.12 ...

The course covers contingency tables, Mantel-Haenszel test, measures of association and of agreement, logistic regression models, regression diagnostics, proportional odds, ordinal and polytomous ...

Multiple logistic regression models identified various combinations of these factors as predictive of MMR maintenance (Table 2 and for all the details, see the Data Supplement, Table S4).

A new study investigated how logistic regression model training affects performance, and which features are best to include when examining datasets from individuals suffering from COVID-19.

Rohan Kumar, R. Anbalagan, Landslide susceptibility zonation of Tehri reservoir rim region using binary logistic regression model, Current Science, Vol. 108, No. 9 (10 May 2015), pp. 1662-1672 ...

According to a recent study published in Scientific Reports insulin resistance as assessed by the homeostatic model ...

Consistency Between State's Cancer Registry and All-Payer Claims Database in Documented Radiation Therapy Among Patients Who Received Breast Conservative Surgery Logistic regression models achieved a ...

The model was found to be predictive and may help identify patients with multiple myeloma at a high risk of early disease progression.