It can be useful to visualize the sigmoid function, the key characteristic of a logistic regression model (Figure 1). The purpose of the function is to transform a probability (as a real number) into ...

The equation for p is called the logistic sigmoid function. When computing logistic regression, a z value can be anything from minus infinity to plus infinity, but a p value will always be between 0 ...

A three-parameter family of survival models is introduced. The base-line density is derived and the main properties of the model, including a frailty interpretation, are discussed. Several different ...

The equation for p is called the logistic sigmoid function. When computing logistic regression, a z value can be anything from minus infinity to plus infinity, but a p value will always be between 0 ...