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Nonparametric estimation for a current status right-censored data model. / Malov, Sergey V. .

в: Statistica Neerlandica, Том 73, № 4, 2019, стр. 475-495.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

Harvard

Malov, SV 2019, 'Nonparametric estimation for a current status right-censored data model', Statistica Neerlandica, Том. 73, № 4, стр. 475-495. https://doi.org/10.1111/stan.12180

APA

Malov, S. V. (2019). Nonparametric estimation for a current status right-censored data model. Statistica Neerlandica, 73(4), 475-495. https://doi.org/10.1111/stan.12180

Vancouver

Malov SV. Nonparametric estimation for a current status right-censored data model. Statistica Neerlandica. 2019;73(4):475-495. https://doi.org/10.1111/stan.12180

Author

Malov, Sergey V. . / Nonparametric estimation for a current status right-censored data model. в: Statistica Neerlandica. 2019 ; Том 73, № 4. стр. 475-495.

BibTeX

@article{e0d6bdad5d8240d098943ca536f4ba48,
title = "Nonparametric estimation for a current status right-censored data model",
abstract = "We consider the Case 1 interval censoring approach for right-censored survival data. An important feature of the model is that right-censored event times are not observed exactly, but at some inspection times. The model covers as particular cases right-censored data, current status data, and life table survival data with a single inspection time. We discuss the nonparametric estimation approach and consider three nonparametric estimators for the survival function of failure time: maximum likelihood, pseudolikelihood, and the na{\"i}ve estimator. We establish strong consistency of the estimators with the L 1 rate of convergence. Simulation results confirm consistency of the estimators. ",
keywords = "competing risks, independent censoring, interval censoring, nonparametric maximum likelihood estimate, right censoring, survival data, LIFE TABLE, CONVERGENCE, COMPETING RISKS, EMPIRICAL DISTRIBUTION FUNCTION",
author = "Malov, {Sergey V.}",
year = "2019",
doi = "10.1111/stan.12180",
language = "English",
volume = "73",
pages = "475--495",
journal = "Statistica Neerlandica",
issn = "0039-0402",
publisher = "Wiley-Blackwell",
number = "4",

}

RIS

TY - JOUR

T1 - Nonparametric estimation for a current status right-censored data model

AU - Malov, Sergey V.

PY - 2019

Y1 - 2019

N2 - We consider the Case 1 interval censoring approach for right-censored survival data. An important feature of the model is that right-censored event times are not observed exactly, but at some inspection times. The model covers as particular cases right-censored data, current status data, and life table survival data with a single inspection time. We discuss the nonparametric estimation approach and consider three nonparametric estimators for the survival function of failure time: maximum likelihood, pseudolikelihood, and the naïve estimator. We establish strong consistency of the estimators with the L 1 rate of convergence. Simulation results confirm consistency of the estimators.

AB - We consider the Case 1 interval censoring approach for right-censored survival data. An important feature of the model is that right-censored event times are not observed exactly, but at some inspection times. The model covers as particular cases right-censored data, current status data, and life table survival data with a single inspection time. We discuss the nonparametric estimation approach and consider three nonparametric estimators for the survival function of failure time: maximum likelihood, pseudolikelihood, and the naïve estimator. We establish strong consistency of the estimators with the L 1 rate of convergence. Simulation results confirm consistency of the estimators.

KW - competing risks

KW - independent censoring

KW - interval censoring

KW - nonparametric maximum likelihood estimate

KW - right censoring

KW - survival data

KW - LIFE TABLE

KW - CONVERGENCE

KW - COMPETING RISKS

KW - EMPIRICAL DISTRIBUTION FUNCTION

UR - http://www.scopus.com/inward/record.url?scp=85067353380&partnerID=8YFLogxK

U2 - 10.1111/stan.12180

DO - 10.1111/stan.12180

M3 - Article

VL - 73

SP - 475

EP - 495

JO - Statistica Neerlandica

JF - Statistica Neerlandica

SN - 0039-0402

IS - 4

ER -

ID: 47589356