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Logistic regression is a technique used to make predictions in situations where the item to predict can take one of just two possible values. For example, you might want to predict the credit ...

Each response was measured on a scale of nine categories ranging from strong dislike (1) to excellent taste (9). The data, given in McCullagh and Nelder (1989, p. 175) in the form of a two-way ...

Example 29.1: Logistic Regression In an experiment comparing the effects of five different drugs, each drug is tested on a number of different subjects. The outcome of each experiment is the presence ...

This article discusses some major uses of the logistic regression model in social data analysis. Using the example of personal happiness, a trichotomous variable from the 1993 General Social Survey (n ...

A method of adjustment for nonresponse is considered. No information about the nonrespondents is required, but the respondents are assumed to answer all questions of interest. One or more call-backs ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...