A computationally attractive model for the analysis of conjoint choice experiments is the mixed multinomial logit model, a multinomial logit model in which it is assumed that the coefficients follow a ...

Garrett Glasgow, Mixed Logit Models for Multiparty Elections, Political Analysis, Vol. 9, No. 2 (Spring 2001), pp. 116-136 ...

An important feature of this method is that it yields correct standard errors for the marketing mix parameter estimates even if the assumed logit model specification is not correct. Empirical examples ...

Linear mixed models are increasingly used for the analysis of genome-wide association studies (GWAS) of binary phenotypes because they can efficiently and robustly account for population ...

In general, PROC MIXED is recommended for nearly all of your linear mixed-model applications. PROC NLMIXED handles models in which the fixed or random effects enter nonlinearly. It requires that you ...