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Computational and Mathematical Methods in Medicine
Volume 11, Issue 3, Pages 281-295
Original Article

Inferences for Joint Modelling of Repeated Ordinal Scores and Time to Event Data

1Department of Statistics, Visva-Bharati University, Birbhum, West Bengal, India
2Department of Statistics, University of Calcutta, 35, B.C. Road, Kolkata 700019, India

Received 19 August 2009; Accepted 18 March 2010

Copyright © 2010 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [6 citations]

The following is the list of published articles that have cited the current article.

  • Jaeun Choi, Jianwen Cai, Donglin Zeng, and Andrew F. Olshan, “Joint Analysis of Survival Time and Longitudinal Categorical Outcomes,” Statistics in Biosciences, 2013. View at Publisher · View at Google Scholar
  • C. Armero, C. Forné, M. Rué, A. Forte, H. Perpiñán, G. Gómez, and M. Baré, “Bayesian joint ordinal and survival modeling for breast cancer risk assessment,” Statistics in Medicine, 2016. View at Publisher · View at Google Scholar
  • Jaeun Choi, Donglin Zeng, Andrew F. Olshan, and Jianwen Cai, “Joint modeling of survival time and longitudinal outcomes with flexible random effects,” Lifetime Data Analysis, 2017. View at Publisher · View at Google Scholar
  • Jaeun Choi, Jianwen Cai, and Donglin Zeng, “Penalized Likelihood Approach for Simultaneous Analysis of Survival Time and Binary Longitudinal Outcome,” Sankhya B, 2017. View at Publisher · View at Google Scholar
  • Awoke Seyoum, Principal Ndlovu, and Zewotir Temesgen, “Joint longitudinal data analysis in detecting determinants of CD4 cell count change and adherence to highly active antiretroviral therapy at Felege Hiwot Teaching and Specialized Hospital, North-west Ethiopia (Amhara Region),” AIDS Research and Therapy, vol. 14, no. 1, 2017. View at Publisher · View at Google Scholar
  • Narges Roustaei, Seyyed Mohammad Taghi Ayatollahi, and Najaf Zare, “A Proposed Approach for Joint Modeling of the Longitudinal and Time-To-Event Data in Heterogeneous Populations: An Application to HIV/AIDS’s Disease,” BioMed Research International, vol. 2018, pp. 1–13, 2018. View at Publisher · View at Google Scholar