An identifiability problem in a state model for partly undetected chronic diseases
Populations and Evolution
2015-11-24 v1 Quantitative Methods
Abstract
Recently, we proposed an state model (compartment model) to describe the progression of a chronic disease with an pre-clinical (undiagnosed) state before clinical diagnosis. It is an open question, if a sequence of cross-sectional studies with mortality follow-up is sufficient to estimate the true incidence rate of the disease, i.e. the incidence of the undiagnosed and diagnosed disease. In this note, we construct a counterexample and show that this cannot be achieved in general.
Keywords
Cite
@article{arxiv.1511.06904,
title = {An identifiability problem in a state model for partly undetected chronic diseases},
author = {Ralph Brinks},
journal= {arXiv preprint arXiv:1511.06904},
year = {2015}
}
Comments
5 pages, 1 figure