Analysis of Mean and Rate Functions for Recurrent Events
Methods for the analysis of mean and rate functions for recurrent events are reviewed, in the context of longitudinal studies involving multiple subjects. Semiparametric models involving an arbitrary baseline mean or rate function multiplied by a parametrically specified function of covariates are emphasized. Methods of dealing with censoring or terminal events which are related to the recurrent events are considered. An example involving rejection episodes for kidney transplant recipients is discussed.
KeywordsRate Function Recurrent Event Rejection Episode Kidney Transplant Recipient Counting Process
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- Byar, D.P. (1980). The Veterans’ Administration Study of Chemoprophylaxis for recurrent stage 1 bladder tumors: Comparisons of placebo, pyridoxine and topical thiopeta. In Bladder Tumors and Other topics in Urological Oncology, (eds. M. Pavone-Macaliso; P.H. Smith and F. Edsmyr), pp. 363–370, New York: Plenum.Google Scholar
- Cook, R.J. and Lawless, J.F. (1996). Interim monitoring of longitudinal comparative studies with recurrent event responses. To appear in Biometrics.Google Scholar
- Cook, R.J. and Lawless, J.F. (1996). Marginal analysis of recurrent events and a terminating event. To appear in Statistics in Medicine.Google Scholar
- Nadeau, C. (1995). Inference for Point Processes Through Estimating Functions. Unpublished Ph.D. Thesis, University of Waterloo.Google Scholar
- Nadeau, C. and Lawless, J.F. (1996). Inference for means and covariances of point processes through estimating functions. Submitted for publication.Google Scholar
- Nelson, W.B. (1988). Graphical analysis of system repair data. Journal of Quality Technology 20, 24–35.Google Scholar