Evolution of recurrent asthma event rate over time in frailty models

Journal of the Royal Statistical Society. Series C: Applied Statistics

Volumn 52, Issue 3, 2003, Pages 355-363

  Duchateau, Luc ^a   Janssen, Paul ^b   Kezic, Iva ^c   Fortpied, Catherine ^c  

^a GHENT UNIVERSITY   (Belgium)

^b HASSELT UNIVERSITY   (Belgium)

^c Union Chimique Belge   (Belgium)

Author keywords

Asthma; Frailty model; Gap time; Hazard rate; Recurrent events

Indexed keywords

EID: 0038379780     PISSN: 00359254     EISSN: None     Source Type: Journal    
DOI: 10.1111/1467-9876.00409     Document Type: Article

References (9)

1. Clayton, D. (1994) Some approaches to the analysis of recurrent event data. Statist. Meth. Med. Res., 3, 244-262.
2. Duchateau, L., Janssen, P., Lindsey, P., Legrand, C., Nguti, R. and Sylvester, R. (2002) The shared frailty model and the power for heterogeneity tests in multicenter trials. Comput. Statist. Data Anal., 40, 603-620.
3. Hougaard, P. (2000) Analysis of Multivariate Survival Data. New York: Springer.
4. Kelly, P. J. and Lim, L. (2000) Survival analysis for recurrent event data: an application to childhood infectious diseases. Statist. Med., 19, 13-33.
5. Klein, J. P. (1992) Semiparametric estimation of random effects using the Cox model based on the EM algorithm. Biometrics, 48, 795-806.
6. Mahé, C. and Chevret, S. (1999) Estimation of the treatment effect in a clinical trial when recurrent events define the endpoint. Statist. Med., 18, 1821-1829.
7. McGilchrist, C. A. and Aisbett, C. W. (1991) Regression with frailty in survival analysis. Biometrics, 47, 461-466.
8. Prentice, R. L., Williams, B. J. and Peterson, A. V. (1981) On the regression analysis of multivariate failure time data. Biometrika, 68, 373-379.
9. Wei, L. J., Lin, D. Y. and Weissfeld, L. (1989) Regression analysis of multivariate incomplete failure time data by modeling marginal distributions. J. Am. Statist. Ass., 84, 1065-1073.