Bayesian Accelerated Failure Time and its Application in Chemotherapy Drug Treatment Trial

Prabhash Kumar, Patil Vijay M, Noronha Vanita, Joshi Amit and Bhattacharjee Atanu
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Prabhash Kumar: Department of Medical Oncology, Tata Memorial Hospital, Bangalore, ; India
Patil Vijay M: Department of Medical Oncology, Tata Memorial Hospital, Bangalore, ; India
Noronha Vanita: Department of Medical Oncology, Tata Memorial Hospital, Bangalore, ; India
Joshi Amit: Department of Medical Oncology, Tata Memorial Hospital, Bangalore, ; India
Bhattacharjee Atanu: Department of Biometrics, Chiltern Clinical Research Ltd, Bangalore, Bangalore, ; India

Statistics in Transition New Series, 2016, vol. 17, issue 4, 671-690

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 (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:stintr:v:17:y:2016:i:4:p:671-690:n:14

DOI: 10.21307/stattrans-2016-046

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