2008 | OriginalPaper | Buchkapitel
A Mathematical Model for Prediction of Recurrence in Bladder Cancer Patients
verfasst von : Cristina Santamaría, María Belén García-Mora, Gregorio Rubio, Jose Luis Pontones
Erschienen in: Progress in Industrial Mathematics at ECMI 2006
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Multiple sequential recurrences are one of the most important characteristics of superficial transitional cell carcinoma (TCC) of the bladder. Many investigations have been done to identify predictive factors for the first recurrence, but very few studies have investigated multiple recurrences of this cancer and its clinicopathologic factors associated. We consider counting process methods for analysing timeto-event data with recurrent outcomes using the models developed by Andersen and Gill and, Prentice, Williams, and Peterson. A postoperative nomogram is developed to predict recurrences based on those predictive factors.