• 1
  • 2
  • 5
  • 6
  • 7
  • 8
  • 9
  • 3
  • 4
IPM
30
YEARS OLD

“School of Biological”

Back to Papers Home
Back to Papers of School of Biological

Paper   IPM / Biological / 14206
School of Biological Sciences
  Title:   A Mixed Bayesian/Frequentist Approach to Sample Size Determination Problem for Clinical Trials
  Author(s): 
1.  M. Bideli.
2.  J. Gittins.
3.  hamid Pezeshk
  Status:   Published
  Journal: Progress in Biological Sciences
  No.:  1
  Vol.:  6
  Year:  2016
  Pages:   1-9
  Supported by:  IPM
  Abstract:
In this paper we introduce a stochastic optimization method based on a mixed Bayesian/frequentist approach to a sample size determination problem in a clinical trial. The data are assumed to come from a nor- mal distribution for which both the mean and the variance are unknown. In contrast to the usual Bayesian decision theoretic methodology, which assumes a single decision maker, our method recognizes the existence of three decision makers, namely: the company conducting the trial, which decides on its size; the regulator, whose approval is necessary for the drug to be licensed for sale; and the public at large, who determine ultimate usage. Moreover, we model the subsequent usage by plausible assumptions for actual behaviour. A Markov Chain Monte Carlo is applied to _nd the maximum expected utility of conducting the trial.

Download TeX format
back to top
Clients Logo
Clients Logo
Clients Logo
Clients Logo
Clients Logo
Clients Logo
Clients Logo
Clients Logo
scroll left or right