BAYESIAN ACCELERATED FAILURE TIME AND ITS APPLICATION IN CHEMOTHERAPY DRUG TREATMENT TRIAL
BAYESIAN ACCELERATED FAILURE TIME AND ITS APPLICATION IN CHEMOTHERAPY DRUG TREATMENT TRIAL
Author(s): Kumar Prabhash, Vijay Patil, Vanita Noronha, Amit Joshi, Atanu BhattacharjeeSubject(s): Economy, Business Economy / Management, Accounting - Business Administration
Published by: Główny Urząd Statystyczny
Keywords: Survival Analysis; Faliure Time; Metronomic; Cisplatin;
Summary/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 di erent covariates of interest and random effects 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.
Journal: Statistics in Transition. New Series
- Issue Year: 17/2016
- Issue No: 4
- Page Range: 671-690
- Page Count: 20
- Language: English