Estimating the survival function based on the semi-Markov model for dependent censoring
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,General Medicine
Link
http://link.springer.com/content/pdf/10.1007/s10985-015-9325-0.pdf
Reference9 articles.
1. Andersen PK, Borgan O, Gill RD, Keiding N (1993) Statistical models based on counting processes. Springer, New York
2. Datta S, Satten GA, Datta S (2000) Nonparametric estimation for the three-stage irreversible illness-death model. Biometrics 56:841–847
3. Kiefer J, Wolfowitz J (1956) Consistency of the maximum likelihood estimator in the presence of infinitely many incidental parameters. Ann Math Stat 27(4):887–906
4. Lagakos SW, Williams JS (1978) Models for censored survival analysis: a cone class of variable-sum models. Biometrika 65(1):181–189
5. Lee SY, Tsai WY (2005) An estimator of the survival function based on the semi-markov model under dependent censorship. Lifetime Data Anal 11:193–211
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