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Regression analysis of clustered interval-censored failure time data with linear transformation models in the presence of informative cluster size

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成果类型:
期刊论文
作者:
Zhao, Hui;Ma, Chenchen;Li, Junlong;Sun, Jianguo*
通讯作者:
Sun, Jianguo
作者机构:
[Zhao, Hui] Cent China Normal Univ, Sch Math & Stat, Wuhan, Hubei, Peoples R China.
[Zhao, Hui] Cent China Normal Univ, Hubei Key Lab Math Sci, Wuhan, Hubei, Peoples R China.
[Ma, Chenchen; Li, Junlong; Sun, Jianguo] Univ Missouri, Dept Stat, Columbia, MO 65211 USA.
通讯机构:
[Sun, Jianguo] U
Univ Missouri, Dept Stat, Columbia, MO 65211 USA.
语种:
英文
关键词:
Clustered data;estimating equation;informative cluster size;interval-censoring;linear transformation models;within-cluster resampling
期刊:
Journal of Nonparametric Statistics
ISSN:
1048-5252
年:
2018
卷:
30
期:
3
页码:
703-715
基金类别:
This work was partly supported by the National Nature Science Foundation of China (Nos. 11471135, 11571133) and the self-determined research funds of CCNU from the college’s basic research of Ministry of Education (CCNU15ZD011, CCNU16JCZX11).
机构署名:
本校为第一机构
院系归属:
数学与统计学学院
摘要:
This paper discusses regression analysis of clustered interval-censored failure time data, which often occur in medical follow-up studies among other areas. For such data, sometimes the failure time may be related to the cluster size, the number of subjects within each cluster or we have informative cluster sizes. For the problem, we present a within-cluster resampling method for the situation where the failure time of interest can be described by a class of linear transformation models. In addition to the establishment of the asymptotic properties of the proposed estimators of regression para...

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