Dr. Vickers' research falls into three broad areas: randomized trials, surgical outcomes research and molecular marker studies. A particular focus of his work is the detection and initial treatment of prostate cancer. Dr Vickers has analyzed the 'learning curve' for radical prostatectomy. He is working on a series of studies demonstrating that a single measure of prostate specific antigen (PSA) taken in middle age can predict prostate cancer up to 25 years subsequently and has developed a statistical model to predict the result. His work on randomized trials focuses on methods for integrating randomized trials into routine surgical practice so as to compare different approaches to surgery. As part of this work, he has pioneered the use of web-interfaces for obtaining quality of life data from patients recovering from radical prostatectomy. Dr. Vickers' methodological research centers primarily on novel methods for assessing the clinical value of predictive tools. In particular, he has developed decision-analytic tools that can be directly applied to a data set, without the need for data gathering on patient preferences or utilities. Dr Vickers has a strong interest in teaching statistics. He is course leader for the MSKCC biostatistics course, teaches on the undergraduate curriculum at Weill Medical College of Cornell University and he writes the statistics column for Medscape.