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Exploring Statistical Models for Endometrial Cancer Survival Data
Manas Ranjan Tripathy, Prafulla Kumar Swain, Pravat Kumar Sarangi, Smruti Sudha Pattnaik, Diptismita Jena
Abstract
The main objective of this paper is to explore a suitable statistical model for endometrial cancer survival data.
Several parametric life time distributions have been considered for this analysis. Also, non-parametric Kaplan-
Meier used to validate our chosen model. Further, log rank test has been used to compare the survival
experience between age groups (< 60 and ≥ 60 years) and different grades of endometrial cancer patients. The
log-logistic survival distribution is chosen as most suitable model based on its lowest AIC and BIC values.
There is no significant difference of survival experience between age groups (< 60 and ≥ 60 years) and different
grades of the tumor. The overall five-year survival of the endometrial cancer patients is found to be 45.6% with
95% confidence interval (25.8%, 80.6%). This knowledge would be quite helpful in predicting survival of
endometrial cancer patients.
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ISSN(P) 2350-0174

ISSN(O) 2456-2378

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