Flexible parametric survival models: An application to gastric cancer data

Tutkun, Nihal Ata; Yeldan, Müge; İlhan, Handan

International Journal of Advanced and Applied Sciences

Int. j. adv. appl. sci.

EISSN: 2313-3724

Print ISSN: 2313-626X

Volume 4, Issue 4 (April 2017), Pages: 91-95

Title: Flexible parametric survival models: An application to gastric cancer data

Author(s): Nihal Ata Tutkun ^1,*, Müge Yeldan ², Handan İlhan ²

Affiliation(s):

¹Department of Statistics, Faculty of Science, Hacettepe University, Ankara, Turkey
²Department of Actuarial Sciences, Faculty of Science, Hacettepe University, Ankara, Turkey

https://doi.org/10.21833/ijaas.2017.04.014

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Abstract:

Flexible parametric survival models using cubic splines become popular in survival data analysis. The property of allowing converging hazard functions leads them to be the alternatives to Cox proportional hazards model and parametric survival models. In this study, flexible parametric survival models are applied to the data set of 106 gastric cancer patients. According to this data set, metastasis and muscle contraction are found as important risk factors on survival.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Keywords: Cancer, Parametric, Proportional hazards, Spline

Article History: Received 21 December 2016, Received in revised form 12 February 2017, Accepted 18 February 2017

Digital Object Identifier:

https://doi.org/10.21833/ijaas.2017.04.014

Citation:

Tutkun NA, Yeldan M, and İlhan H (2017). Flexible parametric survival models: An application to gastric cancer data. International Journal of Advanced and Applied Sciences, 4(4): 91-95

http://www.science-gate.com/IJAAS/V4I4/Tutkun.html

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