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Splitting the sample at the largest uncensored observation

Published:2022-11-01 Issue:4 Volume:28 Page:
ISSN:1350-7265
Container-title:Bernoulli
language:
Short-container-title:Bernoulli

Author:

Maller Ross¹,Resnick Sidney²,Shemehsavar Soudabeh³

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, New York, USA

3. School of Mathematics, Statistics and Computer Science, University of Tehran, Tehran, Iran

Publisher

Bernoulli Society for Mathematical Statistics and Probability

Subject

Statistics and Probability

Reference17 articles.

1. Amico, M. and Van Keilegom, I. (2018). Cure models in survival analysis. Ann. Rev. Stat. Appl. 5 311–345. 10.1146/annurev-statistics-031017-100101

2. de Haan, L. and Ferreira, A. (2006). Extreme Value Theory. Springer Series in Operations Research and Financial Engineering. New York: Springer. 10.1007/0-387-34471-3

3. Escobar-Bach, M., Maller, R.A., Van Keilegom, I. and Zhao, M. (2021). Estimation of the cure rate for distributions in the Gumbel maximum domain of attraction under insufficient follow-up. Biometrika. https://doi.org/10.1093/biomet/asaa106.

4. Gill, R.D. (1980). Censoring and Stochastic Integrals. Mathematical Centre Tracts 124. Amsterdam: Mathematisch Centrum.

5. Goldman, A. (1984). Survivorship analysis when cure is a possibility: A Monte Carlo study. Stat. Med. 3 153–163.

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1. Mixture cure model methodology in survival analysis: Some recent results for the one-sample case;Statistics Surveys;2024-01-01

2. Finite sample and asymptotic distributions of a statistic for sufficient follow‐up in cure models;Canadian Journal of Statistics;2023-04-19

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