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

• Autorzy: Kumar Prabhash , Vijay M. Patil , Vanita Noronha , Amit Joshi , Atanu Bhattacharjee
• Języki publikacji: EN

Abstrakty

EN

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. (original abstract)

Słowa kluczowe

EN

Survival analysis; Medicine; Statistics

PL

Analiza przeżycia; Medycyna; Statystyka

• Czasopismo: Statistics in Transition
• Rocznik: 2016
• Tom: 17
• Numer: nr 4
• Strony: 671--690

Twórcy

autor

Kumar Prabhash

• Tata Memorial Hospital, India

autor

Vijay M. Patil

• Tata Memorial Hospital, India

autor

Vanita Noronha

• Tata Memorial Hospital, India

autor

Amit Joshi

• Tata Memorial Hospital, India

autor

Atanu Bhattacharjee

• Chiltern Clinical Research Ltd, India

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