This research monograph discusses newly developed mathematical models and methods that provide biologically meaningful inferences from data on cancer latency produced by follow-up and discrete surveillance studies. Methods for designing optimal strategies of cancer surveillance are systematically presented. This book offers new approaches to the stochastic description of tumour latency, employs biologically-based models for making statistical inference from data on tumour recurrence and also discusses methods of statistical analysis of data resulting from discrete surveillance strategies. It...