In these kinds of situations, we would prefer a model that is easy to interpret, such as the logistic regression model. The Delta-p statistics makes the interpretation of the coefficients even easier.

We consider a generalized regression estimator formulated under a model-assisted framework, in which a regression model is used for the available covariates, and the estimator retains the basic design ...

We propose using the local kernel regression method to estimate the conditional mean function of a panel count model with time-varying coefficients. A partial log-likelihood with a local polynomial is ...

DTSA 5011 Modern Regression Analysis in R Specialization: Statistical Modeling for Data Science Applications Instructor: Brian Zaharatos, Director, Professional Master’s Degree in Applied Mathematics ...

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.