Nonlinear joint models for individual dynamic prediction of risk of death using Hamiltonian Monte Carlo: application to metastatic prostate cancer-Reference-Cited by-同舟云学术

Nonlinear joint models for individual dynamic prediction of risk of death using Hamiltonian Monte Carlo: application to metastatic prostate cancer

Published:2017-07-17 Issue:1 Volume:17 Page:
ISSN:1471-2288
Container-title:BMC Medical Research Methodology
language:en
Short-container-title:BMC Med Res Methodol

Author:

Desmée Solène,Mentré France,Veyrat-Follet Christine,Sébastien Bernard,Guedj Jérémie

Funder

Sanofi

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Epidemiology

Link

http://link.springer.com/content/pdf/10.1186/s12874-017-0382-9.pdf

Reference31 articles.

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4. Rizopoulos D. Dynamic predictions and prospective accuracy in joint models for longitudinal and time-to-event data. Biometrics. 2011; 67(3):819–29.

5. Rizopoulos D, Murawska M, Andrinopoulou ER, Molenberghs G, Takkenberg JJM, Lesaffre E. Dynamic predictions with time-dependent covariates in survival analysis using joint modeling and landmarking. arXiv preprint arXiv:1306.6479. 2013. https://arxiv.org/abs/1306.6479 .

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