Mixture cure model methodology in survival analysis: Some recent results for the one-sample case-Reference-Cited by-同舟云学术

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Mixture cure model methodology in survival analysis: Some recent results for the one-sample case

Published:2024-01-01 Issue:none Volume:18 Page:
ISSN:1935-7516
Container-title:Statistics Surveys
language:
Short-container-title:Statist. Surv.

Author:

Maller Ross¹,Resnick Sidney²,Shemehsavar Soudabeh³,Zhao Muzhi¹

Affiliation:

1. Research School of Finance, Actuarial Studies & Statistics, The Australian National University, Canberra, Australia

2. School of Operations Research & Information Engineering, Cornell University, Ithaca, N.Y., USA

3. School of Mathematics, Murdoch University, Perth, Western Australia

Publisher

Institute of Mathematical Statistics

Reference147 articles.

1. W.R. Allen. Letter to the editor – a note on conditional probability of failure when hazards are proportional. Operations Research, 11:658–659, 1963.

2. J. Amdahl. flexsurvcure: Flexible parametric mixture and non-mixture cure models for time-to-event data. https://cran.r-project.org/web/packages/flexsurvcure/flexsurvcure.pdf, 2020.

3. M. Amica and I. Van Keilegom. Cure models in survival analysis. Ann. Rev. Statist. Appl., 5:311–342, 2018.

4. P. Armitage. The comparison of survival curves. J. Roy. Statist. Soc. Ser. A., 122:279–300, 1959.

5. N. Balakrishnan. Editorial. Statist. Meth. Med. Res., 1999:26, 2017.

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