A robust approach for regression analysis of panel count data with time-varying covariates-Reference-Cited by-同舟云学术

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A robust approach for regression analysis of panel count data with time-varying covariates

Published:2024-11-01 Issue:4 Volume:30 Page:
ISSN:1350-7265
Container-title:Bernoulli
language:
Short-container-title:Bernoulli

Author:

Sun Dayu¹,Guo Yuanyuan²,Li Yang³,Tu Wanzhu³,Sun Jianguo⁴

Affiliation:

1. Department of Biostatistics and Bioinformatics, Emory University, GA 30322, U.S.A

2. Department of Biostatistics and Bioinformatics, Duke University, NC 27710, U.S.A

3. Department of Biostatistics and Health Data Science, Indiana University, Indianapolis, IN 46202, U.S.A

4. Department of Statistics, University of Missouri, MO 65211, U.S.A

Publisher

Bernoulli Society for Mathematical Statistics and Probability

Reference49 articles.

1. van der Vaart, A.W. (1998). Asymptotic Statistics. Cambridge Series in Statistical and Probabilistic Mathematics 3. Cambridge: Cambridge Univ. Press. 10.1017/CBO9780511802256

2. Cook, R.J. and Lawless, J.F. (2007). The Statistical Analysis of Recurrent Events. Statistics for Biology and Health. New York: Springer.

3. Balakrishnan, N. and Zhao, X. (2009). New multi-sample nonparametric tests for panel count data. Ann. Statist. 37 1112–1149. 10.1214/08-AOS599

4. Hu, X.J., Sun, J. and Wei, L.-J. (2003). Regression parameter estimation from panel counts. Scand. J. Stat. 30 25–43. 10.1111/1467-9469.00316

5. Sun, J. and Wei, L.J. (2000). Regression analysis of panel count data with covariate-dependent observation and censoring times. J. R. Stat. Soc. Ser. B. Stat. Methodol. 62 293–302. 10.1111/1467-9868.00232

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