PARTIALLY LINEAR ADDITIVE HAZARDS REGRESSION FOR CLUSTERED AND RIGHT CENSORED DATA - Collections

＜journal article＞
PARTIALLY LINEAR ADDITIVE HAZARDS REGRESSION FOR CLUSTERED AND RIGHT CENSORED DATA

Creator	Creator Name Wei Chen Affiliation Affiliation Name School of Zhangjiagang, Jiangsu University of Science and Technology
Creator	Creator Name Fengling Ren Affiliation Affiliation Name School of Computer Science and Engineering, Xinjiang University of Finance and Economics
Language	English
Publisher	Research Association of Statistical Sciences
Publisher	統計科学研究会
Date	2022
Source Title	Bulletin of informatics and cybernetics
Vol	54
Issue	4
First Page	1
Last Page	14
Publication Type	Version of Record
Access Rights	open access
Crossref DOI	https://doi.org/10.5109/4844359
Abstract	For analyzing clustered survival data, a flexible partially linear additive hazards model is proposed. To accommodate the nonlinear effects, the unknown regression function is approximated by B-spline...s. All regression coefficients are estimated through a system of pseudo-score functions. Under certain conditions, the proposed estimators are shown to be asymptotically normal, where a consistent estimator of the covariance matrix is given. Simulation studies are also conducted to evaluate the finite sample performance of the proposed method, which is illustrated using a real data set from an AIDS clinical trial.show more

File	FileType	Size	Views	Description
BIC-54-4	pdf	151 KB	143

PISSN	0286-522X
EISSN	2435-743X
NCID	AA10634475
Record ID	4844359
Peer-Reviewed	Refereed
Subject Terms	B-spline
	Clustered data
	Marginal model
	Partially linear additive hazards
	Right censored data
Created Date	2022.10.21
Modified Date	2022.10.21