“Backwards” stepwise regression begins with the model including all of the potential independent variables, and successively throws out those which cost the least in terms of reduction of the ...

A simple regression model, or equation, consists of four terms. On the left side is the dependent variable. It represents the phenomenon the model seeks to "explain." ...

A variance inflation factor (VIF) provides a measure of multicollinearity among the independent variables in a multiple regression model. Detecting multicollinearity is important because while ...

Duration: 12h. In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial ...

Part 2: Regression modeling. Skip to main content. Thank you for visiting nature.com. ... To detect that, we include in the model terms involving cross products of the indicators for each factor.

I was composing a long reply in the original thread and it got somewhat unwieldy, so let’s move things over here:Q. Is there any way to see how the regression c… ...

Model building via linear regression models. Method of least squares, theory and practice. Checking for adequacy of a model, examination of residuals, checking outliers. Practical hand on experience ...

Topics include regression models for continuous, binary, ordinal, multinomial, count, time-to-event, and longitudinal data. Prerequisites PUBH.5760 Biostatistical Programming, and PUBH.5770 ...