Implementation of Dynamically Updated Prediction Models at the Point of Care at a Major Cancer Center: Making Nomograms More Like Netflix - 19/04/17
Doi : 10.1016/j.urology.2016.10.049
Andrew J. Vickers a, * 
, Mathew Kent a, Peter T. Scardino b
, Mathew Kent a, Peter T. Scardino b a Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
b Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY
*Address correspondence to: Andrew Vickers, Ph.D., Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, 485 Lexington Avenue, 2nd Floor, New York, NY 10017.Department of Epidemiology and BiostatisticsMemorial Sloan Kettering Cancer Center485 Lexington Avenue, 2nd FloorNew YorkNY10017
Plan
| Financial Disclosure: Dr. Andrew Vickers is named as a coinventor on a patent application for a statistical method for predicting the result of a prostate cancer biopsy. The test has been commercialized by Opko. Dr. Vickers has stock options in Opko and is due to receive royalty payments from sales of the test. |
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| Funding Support: This study was supported in part by funds from David H. Koch provided through the Prostate Cancer Foundation, the Sidney Kimmel Center for Prostate and Urologic Cancers, and P50-CA92629, R01CA160816, P30-CA008748, and R01 CA175491 from the National Cancer Institute. |
© 2016
Elsevier Inc. Tous droits réservés.
Vol 102
P. 1-3 - avril 2017 Retour au numéro
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