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Erschienen in: Lifetime Data Analysis 4/2020

10.03.2020

Semiparametric efficient estimation for additive hazards regression with case II interval-censored survival data

verfasst von: Baihua He, Yanyan Liu, Yuanshan Wu, Xingqiu Zhao

Erschienen in: Lifetime Data Analysis | Ausgabe 4/2020

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Abstract

Interval-censored data often arise naturally in medical, biological, and demographical studies. As a matter of routine, the Cox proportional hazards regression is employed to fit such censored data. The related work in the framework of additive hazards regression, which is always considered as a promising alternative, remains to be investigated. We propose a sieve maximum likelihood method for estimating regression parameters in the additive hazards regression with case II interval-censored data, which consists of right-, left- and interval-censored observations. We establish the consistency and the asymptotic normality of the proposed estimator and show that it attains the semiparametric efficiency bound. The finite-sample performance of the proposed method is assessed via comprehensive simulation studies, which is further illustrated by a real clinical example for patients with hemophilia.

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Metadaten
Titel
Semiparametric efficient estimation for additive hazards regression with case II interval-censored survival data
verfasst von
Baihua He
Yanyan Liu
Yuanshan Wu
Xingqiu Zhao
Publikationsdatum
10.03.2020
Verlag
Springer US
Erschienen in
Lifetime Data Analysis / Ausgabe 4/2020
Print ISSN: 1380-7870
Elektronische ISSN: 1572-9249
DOI
https://doi.org/10.1007/s10985-020-09496-z

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