BAYESIAN ACCELERATED FAILURE TIME AND ITS APPLICATION IN CHEMOTHERAPY DRUG TREATMENT TRIAL

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Statistics in Transition New Series

Polish Statistical Association

Central Statistical Office of Poland

Subject: Economics , Statistics & Probability

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ISSN: 1234-7655
eISSN: 2450-0291

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VOLUME 17 , ISSUE 4 (December 2016) > List of articles

BAYESIAN ACCELERATED FAILURE TIME AND ITS APPLICATION IN CHEMOTHERAPY DRUG TREATMENT TRIAL

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

Keywords : Survival Analysis, Faliure Time, Metronomic, Cisplatin.

Citation Information : Statistics in Transition New Series. Volume 17, Issue 4, Pages 671-690, DOI: https://doi.org/10.21307/stattrans-2016-046

License : (CC BY 4.0)

Published Online: 07-July-2017

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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 consid-ered as an alternative to the proportional hazard model. The model can be used through consideration of dierent covariates of interest and random ef-
fects in each section. The model is simple to t by using OpenBugs software and is revealed to be a good t to the Chemotherapy data.

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