Back to Search
Start Over
Additive Transformation Models for Recurrent Events.
- Source :
-
Communications in Statistics: Theory & Methods . 2013, Vol. 42 Issue 22, p4043-4055. 13p. - Publication Year :
- 2013
-
Abstract
- In this article, we propose a class of additive transformation models for recurrent event data, which includes the additive rates model as a special case. The new models offer great flexibility in formulating the effects of covariates on the mean function of recurrent events. Estimating equation approaches are developed for the model parameters, and asymptotic properties of the resulting estimators are established. In addition, a model checking procedure is presented to assess the adequacy of the model. The finite sample performance of the proposed estimators is examined through simulation studies, and an application to a bladder cancer study is presented. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 03610926
- Volume :
- 42
- Issue :
- 22
- Database :
- Academic Search Index
- Journal :
- Communications in Statistics: Theory & Methods
- Publication Type :
- Academic Journal
- Accession number :
- 91593341
- Full Text :
- https://doi.org/10.1080/03610926.2013.775300