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 ...

To date, the most widely used method for empirical analysis of multiple alternative qualitative choices has been an extension of binary logit analysis called conditional logit analysis. Although this ...

The conditional logit model is attractive when choice sets vary across trials. Additionally, we weight outcome of each trial according to the given choice sets to achieve higher estimation accuracy.

A type of longitudinal multinomial logit model – commonly referred to as a conditional logit model – is developed to study neighbourhood choice within commuting (travel-to-work) areas. Household panel ...

In matched case-control studies, conditional logistic regression is used to investigate the relationship between an outcome of being a case or a control and a set of prognostic factors. When each ...

The route choice model maintains a simple logit structure and introduces a correction term within the deterministic part of the utility function to approximate the correlation among alternative routes ...

Model estimation Table 3 presents the estimated coefficients of the conditional logit model using data from the DCE and BWS experiments, respectively.