CHOICE OF THE PRIOR IN THE BAYESIAN DESIGN FOR THE CLINICAL TRIALS.

Djeridi Zohra; Merabet Hayet

Article Details

CHOICE OF THE PRIOR IN THE BAYESIAN DESIGN FOR THE CLINICAL TRIALS.

Authors:

Djeridi Zohra | Merabet Hayet

Publisher:

Université Mentouri de Constantine

Journal:

Sciences & technologie. A, sciences exactes Issue 44, pp.27-31

Document Type:

Article

Publication Date:

12/2016

Document Language:

English

Document ID (Org No.):

2001909574

pISSN:

2602-7739

Keywords:

Abstract:

 Bayesian statistics have the advantage of being easily established and derived. Thus, we will use this approach to find the distribution of the predictive probabilities of the data not observed yet in the conception of clinical trials phase II. Such perspectives are necessary in cases or in reason treat ethical preoccupations or ether to achieve trials which are particularly toxic or expensive. We propose, in reason of neutrality, to calculate the predictive probabilities within a Bayesian case, where the prior is non informative in different models apply in clinical trials.

Article Details

CHOICE OF THE PRIOR IN THE BAYESIAN DESIGN FOR THE CLINICAL TRIALS.

Authors:

Djeridi Zohra | Merabet Hayet

Publisher:

Université Mentouri de Constantine

Journal:

Sciences & technologie. A, sciences exactes Issue 44, pp.27-31

Document Type:

Article

Publication Date:

12/2016

Document Language:

English

Document ID (Org No.):

2001909574

pISSN:

2602-7739

Bayesian prediction

p

value

clinical trials

non informative prior

Issues

Article Details

CHOICE OF THE PRIOR IN THE BAYESIAN DESIGN FOR THE CLINICAL TRIALS.

Authors: Djeridi Zohra | Merabet Hayet

Publisher: Université Mentouri de Constantine

Journal: Sciences & technologie. A, sciences exactes Issue 44, pp.27-31

Document Type: Article

Publication Date: 12/2016

Document Language: English

Document ID (Org No.): 2001909574

pISSN: 2602-7739

Bayesian prediction

p

value

clinical trials

non informative prior

Issues

Authors:

Djeridi Zohra | Merabet Hayet

Publisher:

Université Mentouri de Constantine

Journal:

Sciences & technologie. A, sciences exactes Issue 44, pp.27-31

Document Type:

Article

Publication Date:

12/2016

Document Language:

English

Document ID (Org No.):

2001909574

pISSN:

2602-7739