Dynamic prediction of residual life with longitudinal covariates using long short-term memory networks
Author:
Affiliation:
1. Department of Statistics, North Carolina State University
Publisher
Institute of Mathematical Statistics
Subject
Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability
Reference32 articles.
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2. VAN HOUWELINGEN, H. C. (2007). Dynamic prediction by landmarking in event history analysis. Scand. J. Stat. 34 70–85.
3. VAN HOUWELINGEN, H. C. and PUTTER, H. (2012). Dynamic Prediction in Clinical Survival Analysis. Monographs on Statistics and Applied Probability 123. CRC Press, Boca Raton, FL.
4. ZHENG, Y. and HEAGERTY, P. J. (2005). Partly conditional survival models for longitudinal data. Biometrics 61 379–391.
5. ZHU, Y., LI, L. and HUANG, X. (2019). Landmark linear transformation model for dynamic prediction with application to a longitudinal cohort study of chronic disease. J. R. Stat. Soc. Ser. C. Appl. Stat. 68 771–791.
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