Development and application of a novel multi-state model of disease progression to identify personalised screening strategies for prostate cancer


This work uses multi-state models of cancer disease progression to explore the misclassification of prostate cancer detected by screening or clinically. It aims to use different models, without or with a time component, to determine the sojourn time for a number of patients within an existing dataset. The outcomes should contribute to tailored approaches to screening for prostate cancer.