Bayesian  accelerated failure time and its application in chemotherapy drug treatment trial

Kumar  Prabhash; Vijay M  Patil; Vanita  Noronha; Amit  Joshi; Atanu  Bhattacharjee

doi:https://doi.org/10.59170/stattrans-2016-037

Bayesian accelerated failure time and its application in chemotherapy drug treatment trial

Kumar Prabhash 1Department of Medical Oncology, Tata Memorial Hospital, India , Vijay M Patil Department of Medical Oncology, Tata Memorial Hospital, India , Vanita Noronha Department of Medical Oncology, Tata Memorial Hospital, India , Amit Joshi Department of Medical Oncology, Tata Memorial Hospital, India , Atanu Bhattacharjee Department of Biometrics, Chiltern Clinical Research Ltd, Bangalore, India Statistics in Transition new series, vol. 17, 2016, 4, pages: 671-690 Published online: 1 December 2016 https://doi.org/10.59170/stattrans-2016-037

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ABSTRACT

The Cox proportional hazards model (CPH) is normally applied in clinical trial data analysis, but it can generate severe problems with breaking the proportion hazard assumption. An accelerated failure time (AFT) is considered as an alternative to the proportional hazard model. The model can be used through consideration of different covariates of interest and random effects in each section. The model is simple to fit by using OpenBugs software and is revealed to be a good fit to the Chemotherapy data.

KEYWORDS

Survival Analysis, Faliure Time, Metronomic, Cisplatin.

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