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- Hamid Pezeshk, Nader Nematollahi, Vahed Maroufy, John Gittins
- Statistical methods in medical research
- 2009

Sample size computations are largely based on frequentist or classical methods. In the Bayesian approach the prior information on the unknown parameters is taken into account. In this work we consider a fully Bayesian approach to the sample size determination problem which was introduced by Grundy et al. and developed by Lindley. This approach treats the… (More)

- Hamid Pezeshk, Nader Nematollahi, Vahed Maroufy, Paul Marriott, John Gittins
- Statistical methods in medical research
- 2013

In this study, we discuss a decision theoretic or fully Bayesian approach to the sample size question in clinical trials with binary responses. Data are assumed to come from two binomial distributions. A Dirichlet distribution is assumed to describe prior knowledge of the two success probabilities p1 and p2. The parameter of interest is p = p1 - p2. The… (More)

- Zohreh Rahnamaei, Nader Nematollahi, Rahman Farnoosh
- J. Applied Mathematics
- 2012

We introduce an alternative skew-slash distribution by using the scale mixture of the exponential power distribution. We derive the properties of this distribution and estimate its parameter by Maximum Likelihood and Bayesian methods. By a simulation study we compute the mentioned estimators and their mean square errors, and we provide an example on real… (More)

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