Iranian Red Crescent Medical Journal

Published by: Kowsar

Assessing Risk Indicators of Allograft Survival of Renal Transplant: An Application of Joint Modeling of Longitudinal and Time-to-Event Analysis

Hojjat Sayyadi 1 , Farid Zayeri 1 , * , Ahmad Reza Baghestani 1 , Taban Baghfalaki 2 , Ali Taghizadeh Afshari 3 , Mohsen Mohammadrahimi 3 , Javid Fereidoni 4 and Khadijeh Makhdoomi 5
Authors Information
1 Department of Biostatistics, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, IR Iran
2 Department of Statistics, Faculty of Mathematical Sciences, Tarbiat Modares University, Tehran, IR Iran
3 Department of Kidney Transplantation, School of Medicine, Urmia University of Medical Sciences, Urmia, IR Iran
4 Department of English Language, School of Medicine, Urmia University of Medical Sciences, Urmia, IR Iran
5 Department of Nephrology, Nephrology and Kidney Transplant Research Center, Urmia University of Medical Sciences, Urmia, IR Iran
Article information
  • Iranian Red Crescent Medical Journal: March 01, 2017, 19 (3); e40583
  • Published Online: September 19, 2016
  • Article Type: Research Article
  • Received: July 3, 2016
  • Revised: August 17, 2016
  • Accepted: September 10, 2016
  • DOI: 10.5812/ircmj.40583

To Cite: Sayyadi H, Zayeri F, Baghestani A R, Baghfalaki T, Taghizadeh Afshari A, et al. Assessing Risk Indicators of Allograft Survival of Renal Transplant: An Application of Joint Modeling of Longitudinal and Time-to-Event Analysis, Iran Red Crescent Med J. 2017 ; 19(3):e40583. doi: 10.5812/ircmj.40583.

Copyright © 2016, Iranian Red Crescent Medical Journal. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License ( which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited.
1. Background
2. Objectives
3. Methods
4. Results
5. Discussion
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