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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Detalhes bibliográficos
Autores corporativos: Berchialla, Paola, Baldi, Ileana
Formato: Livro
Idioma:Inglês
Publicado em: MDPI - Multidisciplinary Digital Publishing Institute 2022
Assuntos:
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
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
Acesso em linha:https://directory.doabooks.org/handle/20.500.12854/79674
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