Rejoinder on: Nonparametric estimation in mixture cure models with covariates
Author:
Publisher
Springer Science and Business Media LLC
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://link.springer.com/content/pdf/10.1007/s11749-023-00871-0.pdf
Reference15 articles.
1. Dirick L, Bellotti T, Claeskens G, Baesens B (2019) Macro-economic factors in credit risk calculations: including time-varying covariates in mixture cure models. J Bus Econ Stat 37(1):40–53
2. Dong Q, Peng Y, Li P (2022) Time to delisted for listed firms in Chinese stock markets: an analysis using a mixture cure model with time-varying covariates. J Operat Res 73(10):2358–2369
3. Geng Z, Li J, Niu Y, Wang X (2023) Goodness-of-fit test for a parametric mixture cure model with partly interval-censored data. Stat Med 42(4):407–421
4. Lambert P, Bremhorst V (2019) Inclusion of time-varying covariates in cure survival models with an application in fertility studies. J R Stat Soc Ser A Stat Soc 183(1):333–354
5. Li P, Peng Y, Jiang P, Dong Q (2020) A support vector machine based semiparametric mixture cure model. Comput Stat 35:931–945
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1. Comments on: Nonparametric estimation in mixture cure models with covariates;TEST;2023-05-17
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