Logistic regression models everything on the log odds scale (this is done using the logit function), which means taking the logarithm of the odds in each of the two explanatory groups and of the odds ...

The measure is in the same spirit as Achen's (1982) "level importance" measure for linear models and thus fills an important gap in logit regression analysis. We show, on the basis of simulations and ...

The conditional logit model is a multinomial logit model that permits the inclusion of choice-specific attributes. This article shows that the conditional logit model will maximize entropy given a set ...