Logistic regression is preferrable over a simpler statistical test such as chi-squared test or Fisher’s exact test as it can incorporate more than one explanatory variable and deals with possible ...

Logistic regression can handle non-numeric predictor variables. The trick is to encode such variables using what is called 1-of-(N-1) encoding. For example, if a predictor variable is color, with ...

In this paper, we generalize earlier results for two-level random effects probit and logistic regression models to the three-level case. Parameter estimation is based on full-information maximum ...