Document Server@UHasselt >
Research >
Research publications >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/25678

Title: Penalized spline estimation in varying coefficient models with censored data
Authors: Hendrickx, Kim
Janssen, Paul
Verhasselt, Anneleen
Issue Date: 2017
Citation: TEST,
Status: Early View
Abstract: We consider P-spline smoothing in a varying coefficient regression model when the response is subject to random right censoring.We introduce two data transformation approaches to construct a synthetic response vector that is used in a penalized least squares optimization problem. We prove the consistency and asymptotic normality of the P-spline estimators for a diverging number of knots and show by simulation studies and real data examples that the combination of a data transformation for censored observations with P-spline smoothing leads to good estimators of the varying coefficient functions.
URI: http://hdl.handle.net/1942/25678
DOI: 10.1007/s11749-017-0574-y
ISSN: 1133-0686
Category: A1
Type: Journal Contribution
Appears in Collections: Research publications

Files in This Item:

Description SizeFormat
Published version717.94 kBAdobe PDF
Supplementary Material394.66 kBAdobe PDF
Peer-reviewed author version617.94 kBAdobe PDF

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.