BAYESIAN PREDICTIVE PERFORMANCE FOR EXPERIMENTAL DESIGN.

المؤلفون

  • H MERABET University Constantine1
  • A LABDAOUI University Constantine1

الكلمات المفتاحية:

Bayesian statistics، predictive methods، clinical trials، binomial model

الملخص

The aim of an exploratory clinical trial is to determine whether a new intervention is promising for further testing in confirmatory clinical trials. Most exploratory clinical trials are designed as single-arm trials using a binary outcome with or without interim monitoring for early stopping. In this paper, we are particularly interested in using the predictive Bayesian approach in clinical trials or objectives is the development of important evidence of an effect of interest we offer the procedure based on the notion satisfaction Index is based on the value of p and we are first given the data available to calculate a forecast of future satisfaction data as Bayesian predictive expect this index conditional on past observations. To illustrate the proposed procedure, we proposed the binomial model.

التنزيلات

بيانات التنزيل غير متوفرة بعد.

السير الشخصية للمؤلفين

H MERABET، University Constantine1

Laboratory of Applied Mathematics and Modeling
Department of Mathematics

A LABDAOUI، University Constantine1

Laboratory of Applied Mathematics and Modeling
Department of Mathematics

المراجع

BERRY S. M, CARLIN B.P., LEE J.J, MULLER P. (2011), Bayesian Adaptive Methods for Clinical Trials. Chapman & Hall/CRC biostatistics series.

Christian P, Robert and George Casella, (2004) Monte Carlo Statistical Methods, Springer.

Gary Koop, Dale J. Poirier, and Justin L. Tobias, (2007), Bayesian econometric methods.

Lyle D.Broemeling, (2006), Bayesian Biostatistics and Diagnostic Medicine. Chapman & Hall/CRC.

Merabet, H (2004) Index and prevision of satisfaction in exponential models for clinical trials. STATISTICA, anno LXIV, n.3, 441-453.

O'.HAGAN A, STEVENS J.W, CAMPBELL M.J.(2005), Assurance in clinical trial design,pharmaceut;Statist,4,187-201.

Shein Chung Chow Mark chang, (2007), Adaptive design methods in clinical trials, Chapman & Hall/CRC biostatistics series.

Steyerberg, E.W. Clinical Prediction Models A Practical Approach to Development, Validation, and Updating (2009), XXVIII, 500p, Hardcover.

Ton J Cleophas, Aeilko H Zwinderman, Toine F Cleophas, Statistics Applied to Clinical Trials (2009), 1 vol. (XIX-559 p.): ill.; 25 cm.

Satoshi Teramukai,a, Takashi Daimonb and Sarah Zoharc, (2012), A Bayesian predictive sample size selection design for single-arm exploratory clinical trials, statistics in medicine.

منشور

2013-06-01

كيفية الاقتباس

MERABET, H., & LABDAOUI, A. (2013). BAYESIAN PREDICTIVE PERFORMANCE FOR EXPERIMENTAL DESIGN. مجلة علوم و تكنولوجيا أ، علوم دقيقة, (37), 31–35. استرجع في من https://revue.umc.edu.dz/a/article/view/1974

إصدار

القسم

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