A logistic regression for these data is a generalized linear model with response equal to the binomial proportion r/n. The probability distribution is binomial, and the link function is logit.

The following SAS statements invoke PROC LOGISTIC to fit a logistic regression model to the vaso-constriction data, where Response is the response variable, and LogRate and LogVolume are the ...

This article discusses some major uses of the logistic regression model in social data analysis. Using the example of personal happiness, a trichotomous variable from the 1993 General Social Survey (n ...

The log-logistic distribution has a non-monotonic hazard function which makes it suitable for modelling some sets of cancer survival data. A log-logistic regression model is described in which the ...

Multivariate adaptive regression splines (MARS) have useful features to effectively reduce the number of terms in a model.