How well can screening sensitivity and sojourn time be estimated

Chronic disease progression models are governed by two main parameters: preclinical intensity and sojourn time. The estimation of these parameters helps in optimizing screening programs (with an additional parameter: sensitivity the screens), we examine their effect improving survival. Multiple approaches exist for estimating parameters. However, based on strong underlying assumptions. Our aim is to investigate For this purpose, developed a simulator mimic breast cancer program while directly observing exact onset time disease. We then performance model under different parameterizations effects sensitivity, inter-screening intervals misspecification used parametric distributions. results indicate correlation among estimated Besides, assumptions have overall model. These findings shed light seemingly discrepant obtained authors using same data sets but