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

The short course will illustrate how to use JMP in linear regression analysis. The three main topics will be: Exploratory data analysis, simple liner regression and polynomial regression How to fit a ...

The existence of multiple observations within several cross sections gives rise to both opportunities and problems in the application of regression analysis. In this article the issues associated with ...

Regression is a statistical method that allows us to look at the relationship between two variables, while holding other factors equal.

The main topics covered are linear regression models, binary logistics models for dichotomous outcomes, multinomial and ordinal logistic models for polytomous outcomes, and Poisson and negative ...

Julie Barber, Simon Thompson, Multiple regression of cost data: use of generalised linear models, Journal of Health Services Research & Policy, Vol. 9, No. 4 (October 2004), pp. 197-204 ...

Nonparametric regression differs from parametric regression in that the shape of the functional relationships between the response (dependent) and the explanatory (independent) variables are not ...