Modeling survival in colon cancer: a methodological review
Author
Ahmed, Farid E.; Vos, Paul W.; Holbert, Donald
Abstract
The Cox proportional hazards model is the most widely used model for survival analysis because of its simplicity. The fundamental assumption in this model is the proportionality of the hazard function. When this condition is not met, other modifications or other models must be used for analysis of survival data. We illustrate in this review several methodological approaches to deal with the violation of the proportionality assumption, using survival in colon cancer as an illustrative example. Originally published Molecular Cancer, Vol. 6, No. 15, Feb 2007
Date
2007-02-12
Citation:
APA:
Ahmed, Farid E., & Vos, Paul W., & Holbert, Donald. (February 2007).
Modeling survival in colon cancer: a methodological review.
Molecular Cancer,
6(15),
1-
12. Retrieved from
http://hdl.handle.net/10342/3202
MLA:
Ahmed, Farid E., and Vos, Paul W., and Holbert, Donald.
"Modeling survival in colon cancer: a methodological review". Molecular Cancer.
6:15. (1-12),
February 2007.
June 29, 2024.
http://hdl.handle.net/10342/3202.
Chicago:
Ahmed, Farid E. and Vos, Paul W. and Holbert, Donald,
"Modeling survival in colon cancer: a methodological review," Molecular Cancer 6, no.
15 (February 2007),
http://hdl.handle.net/10342/3202 (accessed
June 29, 2024).
AMA:
Ahmed, Farid E., Vos, Paul W., Holbert, Donald.
Modeling survival in colon cancer: a methodological review. Molecular Cancer.
February 2007;
6(15):
1-12.
http://hdl.handle.net/10342/3202. Accessed
June 29, 2024.
Collections
Publisher
East Carolina University