Effects of covariates on alternating recurrent events in accelerated failure time models
Author:
Affiliation:
1. Department of Mathematics and Statistics , Aliah University , IIA/27 , New Town , Kolkata 700160, India
2. Department of Statistics , University of Calcutta , 35, Ballygunge Circular Road , Calcutta 700019, India
Abstract
Publisher
Walter de Gruyter GmbH
Subject
Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability
Link
https://www.degruyter.com/document/doi/10.1515/ijb-2019-0099/pdf
Reference28 articles.
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2. Wei, LJ, Lin, DY, Weissfeld, L. Regression analysis of multivariate incomplete failure time data by modeling marginal distributions. J Am Stat Assoc 1989;84:1065–73. https://doi.org/10.1080/01621459.1989.10478873.
3. Huang, Y, Chen, YQ. Marginal regression of gap between recurrent events. Lifetime Data Anal 2003;9:293–303. https://doi.org/10.1023/a:1025892922453.
4. Luo, X, Huang, CY, Wang, L. Quantile regression for recurrent gap time data. Biometrics 2013;69:375–85. https://doi.org/10.1111/biom.12010.
5. Huang, Y. Censored regression with the multistate accelerated sojourn times model. J Roy Stat Soc B 2002;64:17–29. https://doi.org/10.1111/1467-9868.00322.
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