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Applications of structural equation models (SEMs) are often restricted to linear associations between variables. Maximum likelihood …

We propose to model the cause-specific cumulative incidence function of multivariate competing risks data using a random effects model …

Missing covariate values is a common problem in survival analysis. In this paper we propose a novel method for the Cox regression model …

Family studies provide an important tool for understanding etiology of diseases, with the key aim of discovering evidence of family …

An R package for specifying and estimating linear latent variable models is presented. The philosophy of the implementation is to …

We consider data from the Danish twin registry and aim to study in detail how lifetimes for twin-pairs are correlated. We consider …

Information theoretic methods are used to prove convergence in information divergence of reversible Markov chains. Also some ergodic …

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