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 ...

This is a preview. Log in through your library . Abstract A computationally attractive model for the analysis of conjoint choice experiments is the mixed multinomial logit model, a multinomial logit ...

Logistic regression is often used instead of Cox regression to analyse genome-wide association studies (GWAS) of single-nucleotide polymorphisms (SNPs) and disease outcomes with cohort and case-cohort ...

American Journal of Agricultural Economics, Vol. 85, No. 1 (Feb., 2003), pp. 248-253 (6 pages) Substantive income effects are incorporated in a logit or nested-logit model by assuming that utility is ...