A kernel-assisted imputation estimating method for the additive hazards model with missing censoring indicator

Zhiping Qiu; Xiaoping Chen; Yong Zhou

doi:10.1016/j.spl.2014.12.006

A kernel-assisted imputation estimating method for the additive hazards model with missing censoring indicator

Zhiping Qiu
, Xiaoping Chen
, Yong Zhou^*

^*此作品的通讯作者

Huaqiao University
Shanghai University of Finance and Economics
Fujian Normal University
CAS - Academy of Mathematics and System Sciences

科研成果: 期刊稿件 › 文章 › 同行评审

10 引用（Scopus）

摘要

In this paper, a nonparametric imputation method is developed for the additive hazards model when the censoring indicator is missing at random (MAR). The asymptotic properties of the proposed estimator are derived and the performance of the proposed estimator is demonstrated by a numerical simulation.

源语言	英语
页（从-至）	89-97
页数	9
期刊	Statistics and Probability Letters
卷	98
DOI	https://doi.org/10.1016/j.spl.2014.12.006
出版状态	已出版 - 1 3月 2015
已对外发布	是

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10.1016/j.spl.2014.12.006

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@article{c240427fcd624a62a1ec3ed4ae5c0d2b,

title = "A kernel-assisted imputation estimating method for the additive hazards model with missing censoring indicator",

abstract = "In this paper, a nonparametric imputation method is developed for the additive hazards model when the censoring indicator is missing at random (MAR). The asymptotic properties of the proposed estimator are derived and the performance of the proposed estimator is demonstrated by a numerical simulation.",

keywords = "Additive hazards model, Imputation, Kernel smoothing, Missing at random, Missing data",

author = "Zhiping Qiu and Xiaoping Chen and Yong Zhou",

note = "Publisher Copyright: {\textcopyright} 2015 Elsevier B.V.",

year = "2015",

month = mar,

day = "1",

doi = "10.1016/j.spl.2014.12.006",

language = "英语",

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T1 - A kernel-assisted imputation estimating method for the additive hazards model with missing censoring indicator

AU - Qiu, Zhiping

AU - Chen, Xiaoping

AU - Zhou, Yong

PY - 2015/3/1

Y1 - 2015/3/1

N2 - In this paper, a nonparametric imputation method is developed for the additive hazards model when the censoring indicator is missing at random (MAR). The asymptotic properties of the proposed estimator are derived and the performance of the proposed estimator is demonstrated by a numerical simulation.

AB - In this paper, a nonparametric imputation method is developed for the additive hazards model when the censoring indicator is missing at random (MAR). The asymptotic properties of the proposed estimator are derived and the performance of the proposed estimator is demonstrated by a numerical simulation.

KW - Additive hazards model

KW - Imputation

KW - Kernel smoothing

KW - Missing at random

KW - Missing data

UR - https://www.scopus.com/pages/publications/84920903639

U2 - 10.1016/j.spl.2014.12.006

DO - 10.1016/j.spl.2014.12.006

M3 - 文章

AN - SCOPUS:84920903639

SN - 0167-7152

VL - 98

SP - 89

EP - 97

JO - Statistics and Probability Letters

JF - Statistics and Probability Letters

ER -

A kernel-assisted imputation estimating method for the additive hazards model with missing censoring indicator

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