This article presents a score test to check the fit of a logistic regression model with two or more outcome categories. The null hypothesis that the model fits well is tested against the alternative ...

Logistic regression was used to develop a risk prediction model using the FIT result and screening data: age, sex and previous screening history.

In this article, an exact conditional goodness-of-fit test for the logistic regression model with grouped binomial response data is proposed. Two efficient algorithms are presented for carrying out ...

When the explanatory variables in a logistic regression are relatively small in number and are qualitative, you can request a goodness-of-fit test. However, when you also have quantitative variables, ...

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.

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...