Comparison of treatments is a frequently used phenomenon in clinical studies. Accelerated failure time (AFT) models that express the relationship between logarithm of survival time and covariates are used for such type of comparison. Three log-location- scale models- Weibull, log-normal and log-logistic are evaluated to compare two treatment procedures of head-and-neck cancer data. Censored data are analyzed under Bayesian framework using Stan language. The models are assessed on the basis of LOOIC and WAIC.
Digital Object Identifier (DOI)
Ashraf-Ul-Alam, Md. and Ali Khan, Athar
"Comparison of Accelerated Failure Time Models: A Bayesian Study on Head and Neck Cancer Data,"
Journal of Statistics Applications & Probability: Vol. 10:
2, Article 11.
Available at: https://digitalcommons.aaru.edu.jo/jsap/vol10/iss2/11