Bayesian Modeling of Survival Data in the Presence of Competing Risks with Cure Fractions and Masked Causes
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/s13171-023-00335-5.pdf
Reference47 articles.
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2. Asano, J., Hirakawa, A.: Assessing the prediction accuracy of a cure model for censored survival data with long-term survivors: Application to breast cancer data. Journal of Biopharmaceutical Statistics 27(6),918–932 (2017)
3. Basu, S., Tiwari, R.C.: Breast cancer survival, competing risks and mixture cure model: a Bayesian analysis. Journal of the Royal Statistical Society Series A: Statistics in Society 173(2),307–329 (2010)
4. Berkson, J., Gage, R.P.: Survival curve for cancer patients following treatment. Journal of the American Statistical Association 47,501–515 (1952)
5. Cai, C., Zou, Y., Peng, Y., Zhang, J.: smcure: Fit semiparametric mixture cure models. R package version 2 (2012)
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