Course TopicsMultivariate analysis is commonly used when we have more than one outcome variables for each observation. For instance, a survey of American adults’ physical and mental health might ...

Clinical characteristics, univariate, and multivariate Cox model analysis of long-term (> 3 years) survivors of stage IV metastatic breast cancer treated on phase II or III North Central Cancer ...

Multivariate twin models: from univariate to bivariate. Presenter. Conor Dolan. Date first presented. June 2022 Virtual Workshop. Content. In this lecture, the univariate twin model is extended to the ...

After univariate analysis, we applied two multivariate statistical techniques. In a Cox regression model, the selected explanatory variables were disease extent, Karnofsky performance status, WBC and ...

This paper considers some univariate and multivariate operational risk models, in which the loss severities are modeled by some weakly tail dependent and heavy-tailed positive random variables, and ...