Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

Consider a study of the effects on taste of various cheese additives. Researchers tested four cheese additives and obtained 52 response ratings for each additive. Each response was measured on a scale ...

Journal of Vegetation Science, Vol. 21, No. 6 (December 2010), pp. 1152-1161 (10 pages) Question: We provide a method to calculate the power of ordinal regression models for detecting temporal trends ...

You have many options for performing logistic regression in the SAS System. For the dichotomous outcome, most of the time you would use the LOGISTIC procedure or the GENMOD procedure; you will need to ...

In recent columns we showed how linear regression can be used to predict a continuous dependent variable given other independent variables 1,2. When the dependent variable is categorical, a common ...