Survival analysis of cervical cancer using stratified Cox regression

S. W. Purnami, K. D. Inayati, N. W.Wulan Sari, V. Chosuvivatwong, H. Sriplung

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)


Cervical cancer is one of the mostly widely cancer cause of the women death in the world including Indonesia. Most cervical cancer patients come to the hospital already in an advanced stadium. As a result, the treatment of cervical cancer becomes more difficult and even can increase the death's risk. One of parameter that can be used to assess successfully of treatment is the probability of survival. This study raises the issue of cervical cancer survival patients at Dr. Soetomo Hospital using stratified Cox regression based on six factors such as age, stadium, treatment initiation, companion disease, complication, and anemia. Stratified Cox model is used because there is one independent variable that does not satisfy the proportional hazards assumption that is stadium. The results of the stratified Cox model show that the complication variable is significant factor which influent survival probability of cervical cancer patient. The obtained hazard ratio is 7.35. It means that cervical cancer patient who has complication is at risk of dying 7.35 times greater than patient who did not has complication. While the adjusted survival curves showed that stadium IV had the lowest probability of survival.

Original languageEnglish
Title of host publicationSymposium on Biomathematics, SYMOMATH 2015
EditorsMochamad Apri, Yasuhiro Takeuchi
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735413702
Publication statusPublished - 6 Apr 2016
EventSymposium on Biomathematics, SYMOMATH 2015 - Bandung, Indonesia
Duration: 4 Nov 20156 Nov 2015

Publication series

NameAIP Conference Proceedings
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616


ConferenceSymposium on Biomathematics, SYMOMATH 2015


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