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Additive Hazard Regression Models : An Application to the Natural History of Human Papillomavirus
Joint Authors
Xie, Xianhong
Strickler, Howard D.
Xue, Xiaonan
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-01-28
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
There are several statistical methods for time-to-event analysis, among which is the Cox proportional hazards model that is most commonly used.
However, when the absolute change in risk, instead of the risk ratio, is of primary interest or when the proportional hazard assumption for the Cox proportional hazards model is violated, an additive hazard regression model may be more appropriate.
In this paper, we give an overview of this approach and then apply a semiparametric as well as a nonparametric additive model to a data set from a study of the natural history of human papillomavirus (HPV) in HIV-positive and HIV-negative women.
The results from the semiparametric model indicated on average an additional 14 oncogenic HPV infections per 100 woman-years related to CD4 count < 200 relative to HIV-negative women, and those from the nonparametric additive model showed an additional 40 oncogenic HPV infections per 100 women over 5 years of followup, while the estimated hazard ratio in the Cox model was 3.82.
Although the Cox model can provide a better understanding of the exposure disease association, the additive model is often more useful for public health planning and intervention.
American Psychological Association (APA)
Xie, Xianhong& Strickler, Howard D.& Xue, Xiaonan. 2013. Additive Hazard Regression Models : An Application to the Natural History of Human Papillomavirus. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-498843
Modern Language Association (MLA)
Xie, Xianhong…[et al.]. Additive Hazard Regression Models : An Application to the Natural History of Human Papillomavirus. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-498843
American Medical Association (AMA)
Xie, Xianhong& Strickler, Howard D.& Xue, Xiaonan. Additive Hazard Regression Models : An Application to the Natural History of Human Papillomavirus. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-498843
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-498843