All differences were statistically significant. The results from the bivariate and the multivariate logistic regression models are shown in Table 3.

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

We used multivariate logistic regression to test our hypothesis that greater self-efficacy would be associated with less concern about medical errors after adjusting for the aforementioned ...

We assessed likelihood of abandonment using bivariate and multivariate logistic regression analyses including patient demographics, plan type, drug type, cost sharing, and concurrent prescription ...

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 ...

The paucity of distributions that can be used as an aid to modelling the structure of multivariate data is a recognized limitation. We present a relatively simple family of distributions for use in ...

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 ...