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 ...

A class of conditional logistic regression models for clustered binary data is considered. This includes the polychotomous logistic model of Rosner (1984) as a special case. Properties such as the ...

This note compares the odds ratio with the probability ratio (relative risk). These quantities arise, for example, in the analysis of educational and social science data by means of logistic ...

Children with allergic rhinitis (AR) have an increased risk for behavioral problems (BPs), which is partly mediated by sleep ...