random effects

Modeling the cumulative incidence function of multivariate competing risks data allowing for within-cluster dependence of risk and timing

We propose to model the cause-specific cumulative incidence function of multivariate competing risks data using a random effects model that allows for within-cluster dependence of both risk and timing. The model contains parameters that makes it …

The liability threshold model for censored twin data

Family studies provide an important tool for understanding etiology of diseases, with the key aim of discovering evidence of family aggregation and to determine if such aggregation can be attributed to genetic components. Heritability and concordance …