Analyzing left-truncated and right-censored data under Cox models with long-term survivors

Fei peng Zhang; Yong Zhou

doi:10.1007/s10255-013-0215-5

Analyzing left-truncated and right-censored data under Cox models with long-term survivors

Fei peng Zhang^*
, Yong Zhou

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

We analyze left-truncated and right-censored data using Cox proportional hazard models with long-term survivors. The estimators of covariate coefficients and the long-term survivor proportion are obtained by the partial likelihood method, and their asymptotic properties are also established. Simulation studies demonstrate the performance of the proposed estimators, and an application to a real dataset is provided.

Original language	English
Pages (from-to)	241-252
Number of pages	12
Journal	Acta Mathematicae Applicatae Sinica
Volume	29
Issue number	2
DOIs	https://doi.org/10.1007/s10255-013-0215-5
State	Published - Apr 2013
Externally published	Yes

Keywords

left-truncated and right-censored data
long-term survivors
semiparametric proportional hazards models

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10.1007/s10255-013-0215-5

Cite this

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title = "Analyzing left-truncated and right-censored data under Cox models with long-term survivors",

abstract = "We analyze left-truncated and right-censored data using Cox proportional hazard models with long-term survivors. The estimators of covariate coefficients and the long-term survivor proportion are obtained by the partial likelihood method, and their asymptotic properties are also established. Simulation studies demonstrate the performance of the proposed estimators, and an application to a real dataset is provided.",

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AB - We analyze left-truncated and right-censored data using Cox proportional hazard models with long-term survivors. The estimators of covariate coefficients and the long-term survivor proportion are obtained by the partial likelihood method, and their asymptotic properties are also established. Simulation studies demonstrate the performance of the proposed estimators, and an application to a real dataset is provided.

KW - left-truncated and right-censored data

KW - long-term survivors

KW - semiparametric proportional hazards models

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DO - 10.1007/s10255-013-0215-5

M3 - 文章

AN - SCOPUS:84876435360

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Analyzing left-truncated and right-censored data under Cox models with long-term survivors

Abstract

Keywords

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