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 or absence of a positive response ...

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 ...

https://doi.org/10.2307/1400650 • https://www.jstor.org/stable/1400650 Copy URL This article studies binomial mixture models that include covariates in binomial ...

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 ...

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 ...

This is a preview. Log in through your library . Abstract The log-logistic distribution has a non-monotonic hazard function which makes it suitable for modelling some sets of cancer survival data. A ...