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.

Dongfeng Wu is a full professor in the Department of Bioinformatics and Biostatistics, School of Public Health and Information Sciences, University of Louisville. She got her PhD in Statistics and MS in Computer Science from the University of California, Santa Barbara in 1999. She worked at Mississippi State University and MD Anderson Cancer Center before joining the University of Louisville.

1. A Brief Review Of Probability and Bayes Inference. 2. Estimating The Three Key Parameters 3. Testing Dependency Of Two Screening Modalities. 4. Lead Time Distribution in Cancer Screening. 5. Evaluating Long Term Outcomes in Screening. 6. Scheduling Screening Exam for Asyptomatic Individuals. 7. Scheduling the Upcoming Exam for Individuals with a Screening History.