Skip Navigation



Biostatistics Advance Access published online on July 11, 2007
Biostatistics, doi:10.1093/biostatistics/kxm025
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (PDF) Freely available
Right arrow All Versions of this Article:
9/2/234    most recent
kxm025v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Disclaimer
Google Scholar
Right arrow Articles by He, X.
Right arrow Articles by Cook, R. J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by He, X.
Right arrow Articles by Cook, R. J.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2007. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org.

Regression analysis of multivariate panel count data

Xin He

Department of Statistics, University of Missouri, 146 Middlebush Hall, Columbia, MO 65211-6100, USA

Xingwei Tong*

Department of Statistics, Beijing Normal University, Beijing 100875, People's Republic of China xweitong{at}bnu.edu.cn

Jianguo Sun

Department of Statistics, University of Missouri, 146 Middlebush Hall, Columbia, MO 65211-6100, USA

Richard J. Cook

Department of Statistics and Actuarial Sciences, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1

* To whom correspondence should be addressed.

We consider panel count data which are frequently obtained in prospective studies involving recurrent events that are only detected and recorded at periodic assessment times. The data take the form of counts of the cumulative number of events detected at each inspection time, along with explanatory covariates. Examples arise in diverse areas such as epidemiological studies, medical follow-up studies, reliability studies, and tumorigenicity experiments. This article is concerned with regression analysis of multivariate panel count data which arise if more than one type of recurrent event is of interest and individuals are only observed intermittently. We present a class of marginal mean models which leave the dependence structures for related types of recurrent events completely unspecified. Estimating equations are developed for regression parameters, and the resulting estimates are shown to be consistent and asymptotically normal. Simulation studies show that the proposed estimation procedures work well for practical situations. The methodology is applied to a motivating study of patients with psoriatic arthritis in which the events of interest are the onset of joint damage according to 2 different criteria.

Keywords: Counting processes; Estimating equations; Marginal mean model; Multivariate recurrent events; Observation processes

Received May 24, 2006; revised February 2, 2007; accepted for publication May 3, 2007.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.