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Thesis

A Bayesian cost-benefit approach to sample size determination and evaluation in clinical trials

Abstract:

Current practice for sample size computations in clinical trials is largely based on frequentist or classical methods. These methods have the drawback of requiring a point estimate of the variance of treatment effect and are based on arbitrary settings of type I and II errors. They also do not directly address the question of achieving the best balance between the costs of the trial and the possible benefits by using a new medical treatment, and fail to consider the important fact that the...

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Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Oxford college:
St Hugh's College
Role:
Author

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Division:
MPLS
Department:
Statistics
Role:
Supervisor
Publication date:
2011
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
Language:
English
Keywords:
Subjects:
UUID:
uuid:f5cb4e27-8d4c-4a80-b792-469e50efeea2
Local pid:
ora:5732
Deposit date:
2011-10-05

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