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Auteur Houda Bourezaz |
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Titre : Les plans bayésiens dans les essais expérimentaux. Type de document : texte imprimé Auteurs : Houda Bourezaz, Auteur ; Hayet Merabet, Directeur de thèse Mention d'édition : 03/12/2020 Editeur : جامعة الإخوة منتوري قسنطينة Année de publication : 2020 Importance : 145 f. Format : 30 cm. Note générale : Doctorat 3éme CYCLE LMD.
1 copies imprimées disponibles
Langues : Français (fre) Catégories : Français - Anglais
MathématiquesTags : Mathematiques: Statistique Appliquée Distribution prédictive Bayésienne indices de satisfaction assurance Bayésienne approche hybride Bayésienne-fréquentiste approche Bayésienne analyse séquentielle en deux étapes essais expérimentaux résultats Poisson et Gamma taille de l’échantillon efficace Bayesian predictive distribution satisfaction index Bayesian assurance Bayesian-frequentist hybrid approach Bayesian approach two-steps sequential analysis experimental trials Poisson and Gamma results effective sample size توزیع بابيزي التنيئي مؤشرات الرضا ضمان باییزي نهج هجين بابيزي متكرر نهج باییزي تحليل متسلسل من خطوتين الاختيارات التجريبية نتائج بواسون و جهان حجم العينة الفعال Index. décimale : 510 Mathématiques Résumé :
The work presented in this thesis relates to the methodological problems which arise in the context of experimental tests, we have exposed the methods of the sequential analysis setting up to use it in the evaluation of experimental designs which allows to arrive at effective experimental plans. We are considering the use of the assurance method in the planning of clinical trials : In the assurance method, which is an alternative to the power calculation, we calculate the probability that a clinical trial will lead to a positive result, via eliciting a priori probability distribution about the pertinent treatment effect. In this work, we are interested to Bayesian prediction modeling to evaluate a satisfaction index after a first stage of experiment in order to decide to stop at the second stage or continue. We apply this method to Poisson and Gamma distributed outcomes in many fields such as reliability or survival analysis for early termination due to either futility or efficacy. We look at two kinds of decisions making : an hybrid Bayesian-frequentist or a full Bayesian approach. This work also made it possible to determine the effective sample size of an a
priori parameter in a Bayesian model.Note de contenu : Annexes. Diplôme : Doctorat En ligne : ../theses/math/BOU7692.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=11526 Les plans bayésiens dans les essais expérimentaux. [texte imprimé] / Houda Bourezaz, Auteur ; Hayet Merabet, Directeur de thèse . - 03/12/2020 . - جامعة الإخوة منتوري قسنطينة, 2020 . - 145 f. ; 30 cm.
Doctorat 3éme CYCLE LMD.
1 copies imprimées disponibles
Langues : Français (fre)
Catégories : Français - Anglais
MathématiquesTags : Mathematiques: Statistique Appliquée Distribution prédictive Bayésienne indices de satisfaction assurance Bayésienne approche hybride Bayésienne-fréquentiste approche Bayésienne analyse séquentielle en deux étapes essais expérimentaux résultats Poisson et Gamma taille de l’échantillon efficace Bayesian predictive distribution satisfaction index Bayesian assurance Bayesian-frequentist hybrid approach Bayesian approach two-steps sequential analysis experimental trials Poisson and Gamma results effective sample size توزیع بابيزي التنيئي مؤشرات الرضا ضمان باییزي نهج هجين بابيزي متكرر نهج باییزي تحليل متسلسل من خطوتين الاختيارات التجريبية نتائج بواسون و جهان حجم العينة الفعال Index. décimale : 510 Mathématiques Résumé :
The work presented in this thesis relates to the methodological problems which arise in the context of experimental tests, we have exposed the methods of the sequential analysis setting up to use it in the evaluation of experimental designs which allows to arrive at effective experimental plans. We are considering the use of the assurance method in the planning of clinical trials : In the assurance method, which is an alternative to the power calculation, we calculate the probability that a clinical trial will lead to a positive result, via eliciting a priori probability distribution about the pertinent treatment effect. In this work, we are interested to Bayesian prediction modeling to evaluate a satisfaction index after a first stage of experiment in order to decide to stop at the second stage or continue. We apply this method to Poisson and Gamma distributed outcomes in many fields such as reliability or survival analysis for early termination due to either futility or efficacy. We look at two kinds of decisions making : an hybrid Bayesian-frequentist or a full Bayesian approach. This work also made it possible to determine the effective sample size of an a
priori parameter in a Bayesian model.Note de contenu : Annexes. Diplôme : Doctorat En ligne : ../theses/math/BOU7692.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=11526 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité BOU/7692 BOU/7692 Thèse Bibliothèque principale Thèses Disponible
