Competing-risks duration models with correlated random effects: an application to dementia patients' transition histories.

Abstract

Multi-state transition models are widely applied tools to analyze individual event histories in the medical or social sciences. In this paper, we propose the use of (discrete-time) competing-risks duration models to analyze multi-transition data. Unlike conventional Markov transition models, these models allow the estimated transition probabilities to… (More)
DOI: 10.1002/sim.6206

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Cite this paper

@article{Hess2014CompetingrisksDM, title={Competing-risks duration models with correlated random effects: an application to dementia patients' transition histories.}, author={Wolfgang Hess and Larissa Schwarzkopf and Matthias Hunger and R. Holle}, journal={Statistics in medicine}, year={2014}, volume={33 22}, pages={3919-31} }