A multivariate logistic regression model based on 3T mpMRI, clinical, and biopsy parameters for the prediction of prostate cancer extracapsular extension.

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.

We apply an alternative statistical method, logistic regression, to estimate the strength of selection on multiple phenotypic traits. First, we argue that the logistic regression model is more ...

PresenterConor DolanDate first presentedJune 2022 Virtual WorkshopContentIn this lecture, the univariate twin model is extended to the bivariate twin model. It is explained how the variance in two ...