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 ...

A supremum-type statistic, based on partial sums of residuals, is proposed to test the validity of the mean function of the response variable in a generalized linear model. The proposed test does not ...

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

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 multivariable logistic regression model was used to find associations with an unsatisfactory FIT and any follow-up testing after the unsatisfactory FIT was submitted.

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.