Random effects logistic regression models are often used to model clustered binary response data. Regression parameters in these models have a conditional, subject-specific interpretation in that they ...

We consider fitting categorical regression models to data obtained by either stratified or nonstratified case-control, or response selective, sampling from a finite population with known population ...

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.

Common diseases have complex aetiology involving the interplay of genetic susceptibility and environmental risk factors. Here, the authors describe methods for building and evaluating models for ...

Fig. 2 (a) Factors associated with antenatal depression among pregnant women and stratified analyses by region and year using multiple logistic regression models. (b–e) Prevalence of antenatal ...