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Original Articles

Multivariate Recurrent Events in the Presence of Multivariate Informative Censoring with Applications to Bleeding and Transfusion Events in Myelodysplastic Syndrome

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Pages 429-442 | Received 27 Jul 2012, Accepted 29 Oct 2012, Published online: 07 Mar 2014

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Khaled F. Bedair, Yili Hong & Hussein R. Al-Khalidi. (2021) Copula-frailty models for recurrent event data based on Monte Carlo EM algorithm. Journal of Statistical Computation and Simulation 91:17, pages 3530-3548.
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Articles from other publishers (7)

Huijuan Ma, Weicai Pang, Liuquan Sun & Wei Xu. (2022) Augmented weighting estimators for the additive rates model under multivariate recurrent event data with missing event type. Statistics in Medicine 41:22, pages 4285-4298.
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Guoqing Diao, Donglin Zeng, Kuolung Hu & Joseph G. Ibrahim. (2019) Semiparametric frailty models for zero‐inflated event count data in the presence of informative dropout. Biometrics 75:4, pages 1168-1178.
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Thomas H. Scheike, Frank Eriksson & Siri Tribler. (2019) The mean, variance and correlation for bivariate recurrent event data with a terminal event. Journal of the Royal Statistical Society: Series C (Applied Statistics) 68:4, pages 1029-1049.
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Paul M BrownJustin A Ezekowitz. (2018) Frailty modelling for multitype recurrent events in clinical trials. Statistical Modelling 19:2, pages 140-156.
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Cong Xu, Vernon M. Chinchilli & Ming Wang. (2018) Joint modeling of recurrent events and a terminal event adjusted for zero inflation and a matched design. Statistics in Medicine 37:18, pages 2771-2786.
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Hsiang Yu, Yu-Jen Cheng & Ching-Yun Wang. (2016) Semiparametric Regression Estimation for Recurrent Event Data with Errors in Covariates under Informative Censoring. The International Journal of Biostatistics 12:2.
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Ming-Hui ChenJoseph G. IbrahimDonglin ZengKuolung HuCatherine Jia. (2014) Bayesian design of superiority clinical trials for recurrent events data with applications to bleeding and transfusion events in myelodyplastic syndrome. Biometrics 70:4, pages 1003-1013.
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