Volume 1, Issue 2, December 2017, Page: 29-33
Application of Cox Regression and Kaplan Meir Estimates in the Survival Rate of Patients
Amos Langat, Department of Statistics and Actuarial Science, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
Joel Koima, Department of Mathematics and Informatics, Kabarak University, Nakuru, Kenya
Received: Apr. 10, 2017;       Accepted: Apr. 28, 2017;       Published: Jul. 3, 2017
DOI: 10.11648/j.jb.20170102.11      View  1606      Downloads  52
This study aim at focusing on the survival analysis for human subjects, to compare efficacy and safety, controlled experiments which conducted as clinical trials. Sometime it is interesting to compare the survival of subjects in two or more interventions. In situations where survival is the issue then the variable of interest would be the length of time that elapses before some event to occur. In many of the situations this length of time is very long for example in cancer therapy; in such case per unit duration of time number of events such as death can be assessed. The paper is highlighting the two difference estimates in the survival distribution of patients and later explain the strengths of the two estimates when use simultaneously in estimating the survival distribution. The researchers found that, application of the two estimates; Cox regression and Kaplan Meir will result in minimum errors estimates thus producing sufficient and complete survival distribution of patients under study.
Survival Analysis, Cox Regression, Kaplan Meir
To cite this article
Amos Langat, Joel Koima, Application of Cox Regression and Kaplan Meir Estimates in the Survival Rate of Patients, Journal of Biomaterials. Vol. 1, No. 2, 2017, pp. 29-33. doi: 10.11648/j.jb.20170102.11
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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