Learn to apply multiple regression techniques to predict continuous outcomes, use logistic regression for binary outcomes, and employ Cox regression for survival analysis.

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 regression diagnostics introduced by Pregibon for the dichotomous logistic model are extended to multiple groups viewed as a multivariate generalized linear model. We develop diagnostics which ...

Multiple logistic regression analysis was used to identify the factors associated with abnormally low and high ABI.