Modeling Disease Trajectories for Castration-resistant Prostate Cancer Using Nationwide Population-based Data

Modeling Disease Trajectories for Castration-resistant Prostate Cancer Using Nationwide Population-based Data

Background: Little is known about disease trajectories for men with castration-resistant prostate cancer (CRPC). Objective: To create a state transition model that estimates time spent in the CRPC state and its outcomes. Design, setting, and participants: The model was generated using population-bas...

Полное описание

Библиографические подробности
Главные авторы: Eugenio Ventimiglia, Anna Bill-Axelson, Jan Adolfsson, Markus Aly, Martin Eklund, Marcus Westerberg, Pär Stattin, Hans Garmo
Формат: Статья
Язык:English
Опубликовано: Elsevier 2022-10-01
Серии:European Urology Open Science
Предметы:
Castration-resistant prostate cancer
Survival
State transition model
Online-ссылка:http://www.sciencedirect.com/science/article/pii/S2666168322007406

Internet

http://www.sciencedirect.com/science/article/pii/S2666168322007406

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