This paper extends the single equation regression model with the truncated dependent variable considered by Tobin [10] and Amemiya [1] to multivariate and simultaneous equation models and proposes a ...

Bayesian analyses of multivariate binary or categorical outcomes typically rely on probit or mixed effects logistic regression models that do not have a marginal logistic structure for the individual ...

Multivariate adaptive regression splines (MARS) have useful features to effectively reduce the number of terms in a model.

The good news is that you probably don’t need to do the number crunching yourself (hallelujah!) but you do need to correctly understand and interpret the analysis created by your colleagues.