The aim of this study is to carry out the analysis of right censoring data with three different parametric models such as exponential, Weibull and log-logistic models. Breast cancer data was collected from State Cancer Institute, Guwahati. The covariates included in this study are time of survival, age of the patients, tumor size and stages. The performance of each model was compared based on AIC and BIC using R software. It is found that the best fitted parametric model is log-logistic model compared with exponential and Weibull models.

parametric model, AIC, BIC.

Received: March 23, 2021; Revised: May 13, 2021; Accepted: June 15, 2021; Published: June 28, 2021

How to cite this article: Swapan Bhattacharjee and Surobhi Deka, Application of parametric models to a survival analysis of breast cancer patients of North-east India, JP Journal of Biostatistics 18(2) (2021), 295-303. DOI: 10.17654/JB018020295

This Open Access Article is Licensed under Creative Commons Attribution 4.0 International License

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