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Computational and Mathematical Methods in Medicine
Volume 2013 (2013), Article ID 796270, 7 pages
Research Article

Additive Hazard Regression Models: An Application to the Natural History of Human Papillomavirus

Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA

Received 5 October 2012; Accepted 31 December 2012

Academic Editor: Arthur Berg

Copyright © 2013 Xianhong Xie et al. 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.

  • Xiaonan Xue, Xianhong Xie, Marc Gunter, Thomas E. Rohan, Sylvia Wassertheil-Smoller, Gloria Y.F. Ho, Dominic Cirillo, Herbert Yu, and Howard D. Strickler, “Testing the proportional hazards assumption in case-cohort analysis,” BMC Medical Research Methodology, vol. 13, no. 1, 2013. View at Publisher · View at Google Scholar
  • Janet K. Freburger, Alan R. Ellis, Abhijit V. Kshirsagar, Lily Wang, and M. Alan Brookhart, “Comparative short-term safety of bolus versus maintenance iron dosing in hemodialysis patients: a replication study,” Bmc Nephrology, vol. 15, 2014. View at Publisher · View at Google Scholar
  • Omid Hamidi, Lily Tapak, Aarefeh Jafarzadeh Kohneloo, and Majid Sadeghifar, “High-Dimensional Additive Hazards Regression for Oral Squamous Cell Carcinoma Using Microarray Data: A Comparative Study,” BioMed Research International, vol. 2014, pp. 1–7, 2014. View at Publisher · View at Google Scholar
  • James B. Wetmore, Milind A. Phadnis, Edward F. Ellerbeck, Theresa I. Shireman, Sally K. Rigler, and Jonathan D. Mahnken, “Relationship between Stroke and Mortality in Dialysis Patients,” Clinical Journal Of The American Society Of Nephrology, vol. 10, no. 1, pp. 80–89, 2015. View at Publisher · View at Google Scholar
  • Shanshan Wang, and Liming Xiang, “Penalized empirical likelihood inference for sparse additive hazards regression with a diverging number of covariates,” Statistics and Computing, 2016. View at Publisher · View at Google Scholar
  • Shanshan Wang, Tao Hu, and Hengjian Cui, “Adjusted Empirical Likelihood Inference for Additive Hazards Regression,” Communications in Statistics - Theory and Methods, pp. 0–0, 2016. View at Publisher · View at Google Scholar