Clinical benefits of a multivariate prediction model for bladder cancer: a decision analytic approach.
Vickers AJ, Cronin AM, Kattan MW, Gonen M, Scardino PT, Milowsky MI, Dalbagni G, Bochner BH; for The International Bladder Cancer Nomogram ConsortiumThe following are members of the International Bladder Cancer Nomogram Consortium: Bernard H. Bochner, MD (director); Guido Dalbagni, MD (codirector); Statistical Group: Michael W. Kattan, PhD (director); Paul Fearn (bioinformatics coordinator), Kinjal Vora, Hee Song Seo, and Lauren Zoref; Mansura University: Hassan Abol‐Enein and Mohamed A. Ghoneim; Memorial Sloan‐Kettering Cancer Center: Bernard H. Bochner, Guido Dalbagni, Peter T. Scardino, and Dean Bajorin; University of Southern California: Donald G. Skinner, John P. Stein, and Gus Miranda; Ulm University: Jürgen E. Gschwend, MD; Bjoern G. Volkmer, MD; and Richard E. Hautmann, MD; Vanderbilt University: Sam Chang, Michael Cookson, and Joseph A. Smith; University of Bern: George Thalman and Urs E. Studer; University of Michigan: Cheryl T. Lee, James Montie, and David Wood; Fundació Puigvert: Juan Palou, Humberto Villavicencio, and Antonio Rosales; Laval University: Yyes Fradet, Louis LaCombe, and Pierre Simard; Johns Hopkins Medical Center: Mark P. Schoenberg; Baylor College of Medicine: Seth Lerner and Amnon Vazina; University of Padova Medical School: Pier‐Francesco Bassi; and Keio University: Masaru Murai and Eiji Kikuchi..
Cancer. 2009 Dec 1;115(23):5460-5469.PMID: 19823979 [PubMed - as supplied by publisher]Related articles