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

In Statistics in Transition
By: Prabhash K.
Contributor(s): Patil VM | Noronha V | Joshi A | Bhattacharjee A.
Material type: materialTypeLabelArticlePublisher: Warszawa : GUS, 2016Description: .Subject(s): Survival Analysis | Faliure Time | Metronomic | CisplatinOnline resources: PDF In: Statistics in Transition Vol. 17, no. 4, p.671-690.Summary: The Cox proportional hazards model (CPH) is normally applied in clinicaltrial data analysis, but it can generate severe problems with breaking theproportion hazard assumption. An accelerated failure time (AFT) is consid-ered as an alternative to the proportional hazard model. The model can beused through consideration of different covariates of interest and random ef-fects in each section. The model is simple to fit by using OpenBugs softwareand is revealed to be a good fit to the Chemotherapy data.
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The Cox proportional hazards model (CPH) is normally applied in clinicaltrial data analysis, but it can generate severe problems with breaking theproportion hazard assumption. An accelerated failure time (AFT) is consid-ered as an alternative to the proportional hazard model. The model can beused through consideration of different covariates of interest and random ef-fects in each section. The model is simple to fit by using OpenBugs softwareand is revealed to be a good fit to the Chemotherapy data.

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