Smoothing Spline ANOVA Frailty Model for Recurrent Event Data

Gap time hazard estimation is of particular interest in recurrent event data. This article proposes a fully nonparametric approach for estimating the gap time hazard. Smoothing spline analysis of variance (ANOVA) decompositions are used to model the log gap time hazard as a joint function of gap tim...

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Bibliographic Details
Published in:	Biometrics Vol. 67; no. 4; pp. 1330 - 1339
Main Authors:	Du, Pang, Jiang, Yihua, Wang, Yuedong
Format:	Journal Article
Language:	English
Published:	Malden, USA Blackwell Publishing Inc 01.12.2011 Wiley-Blackwell Blackwell Publishing Ltd
Subjects:	algorithms Analysis of Variance BIOMETRIC METHODOLOGY Biometrics biometry Censorship Computer Simulation Data analysis Data Interpretation, Statistical Data smoothing Estimation methods Event driven simulation Frailty Gap time hazard Health hazards Humans Markov chain Mathematical models Model selection Modeling Models, Statistical Neoplasm Recurrence, Local - epidemiology Nonparametric hazard model Nonparametric models Numerical Analysis, Computer-Assisted Parametric models Prevalence Proportional Hazards Models Recurrent event data Smoothing spline ANOVA Stochastic approximation Tensors Tumors urinary bladder neoplasms Urinary Bladder Neoplasms - epidemiology
ISSN:	0006-341X, 1541-0420, 1541-0420
Online Access:	Get full text
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