Bayesian Design in Clinical Trials

In the last decade, the number of clinical trials using Bayesian methods has grown dramatically. Nowadays, regulatory authorities appear to be more receptive to Bayesian methods than ever. The Bayesian methodology is well suited to address the issues arising in the planning, analysis, and conduct of...

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Détails bibliographiques
Format:	Online
Langue:	anglais
Publié:	MDPI - Multidisciplinary Digital Publishing Institute 2022
Sujets:	dose-escalation combination study modelling assumption interaction adaptive designs adaptive randomization Bayesian designs clinical trials predictive power target allocation Bayesian inference highest posterior density intervals normal approximation predictive analysis sample size determination bayesian meta-analysis clustering binary data priors frequentist validation Bayesian rare disease prior distribution meta-analysis sample size bridging studies distribution distance oncology phase I dose-finding dose–response bayesian inference prior elicitation latent dirichlet allocation clinical trial power-prior poor accrual Bayesian trial cisplatin doxorubicin oxaliplatin dose escalation PIPAC peritoneal carcinomatosis randomized controlled trial causal inference doubly robust estimation propensity score Bayesian monitoring futility rules interim analysis posterior and predictive probabilities stopping boundaries Bayesian trial design early phase dose finding treatment combinations optimal dose combination thema EDItEUR::N History and Archaeology::NH History thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBF Social and ethical issues
Accès en ligne:	ONIX_20220321_9783036533339_110
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Bayesian Design in Clinical Trials

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