Probability Modeling and Statistical Inference in Cancer Screening

There are many unsolved problems in the study of cancer screening: how to estimate key parameters involved in screening exams, such as screening sensitivity; how to estimate distribution of lead time; how to evaluate the long-term effects of screening, including probability of over diagnosis, true-early-detection and no-early-detection, etc.