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Medrxiv : the Preprint Server for Health Sciences|February 6, 2026
Effect of implementing population-based prostate-specific antigen screening on testing rates and prostate cancer overdiagnosis in England: a statistical modelling studyAndrew J Vickers, Adam BrentnallThe Journal of Urology|December 3, 2014
A systematic literature review of life expectancy prediction tools for patients with localized prostate cancerMatthew Kent, Andrew J VickersMedical Decision Making : an International Journal of the Society for Medical Decision Making|March 2, 2019
A Systematic Review of the Literature Demonstrates Some Errors in the Use of Decision Curve Analysis but Generally Correct Interpretation of FindingsPaolo Capogrosso, Andrew J VickersWorld Journal of Urology|November 22, 2011
Predicting prostate cancer many years before diagnosis: how and why?Andrew J Vickers, Hans LiljaEuropean Urology|December 19, 2025
Evaluating Tumor Quantification in Place of Proportions in Prostate Cancer: Principles of the ProQuant GroupAndrew J Vickers, Samson Fine, Urologic Oncology|July 31, 2004
Incorporating predictions of individual patient risk in clinical trialsMichael W Kattan, Andrew J VickersSeminars in Oncology|February 23, 2010
Traditional statistical methods for evaluating prediction models are uninformative as to clinical value: towards a decision analytic frameworkAndrew J Vickers, Angel M CroninTrials|March 7, 2009
The clinically-integrated randomized trial: proposed novel method for conducting large trials at low costAndrew J Vickers, Peter T ScardinoBMC Medical Research Methodology|November 19, 2008
Statistical methods to correct for verification bias in diagnostic studies are inadequate when there are few false negatives: a simulation studyAngel M Cronin, Andrew J VickersPageof 46