A Bayesian prevalence-incidence mixture model for screening outcomes with misclassification

Thomas Klausch, Birgit I. Lissenberg-Witte, Veerle M. Coupé

We present BayesPIM, a Bayesian prevalence-incidence mixture model for estimating time- and covariate-dependent disease incidence from screening and surveillance data. The method i…