An Additive Hazards Model for Clustered Recurrent Gap Times

In this article, clustered recurrent gap time is investigated. A marginal additive hazards model is proposed without specifying the association of the individuals within the same cluster. The relationship among the gap times for the same individual is also left unspecified. An estimating equation-ba...

Full description

Saved in:
Bibliographic Details
Published in:Journal of systems science and complexity 2018-10, Vol.31 (5), p.1377-1390
Main Authors: Kang, Fangyuan, Sun, Liuquan, Cheng, Ximing
Format: Article
Language:English
Subjects:
Adequacy
Asymptotic methods
Asymptotic properties
Complex Systems
Computer simulation
Control
Estimators
Hazards
Mathematics
Mathematics and Statistics
Mathematics of Computing
Operations Research/Decision Theory
Statistics
Systems Theory
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this article, clustered recurrent gap time is investigated. A marginal additive hazards model is proposed without specifying the association of the individuals within the same cluster. The relationship among the gap times for the same individual is also left unspecified. An estimating equation-based inference procedure is developed for the model parameters, and the asymptotic properties of the resulting estimators are established. In addition, a lack-of-fit test is presented to assess the adequacy of the model. The finite sample behavior of the proposed estimators is evaluated through simulation studies, and an application to a clinic study on chronic granulomatous disease (CGD) is illustrated.
ISSN:1009-6124
1559-7067
DOI:10.1007/s11424-018-6329-3