Predictive control of posterior robustness for sample size choice in a Bernoulli model

DOI10.1007/S10260-012-0225-0zbMath1332.62087OpenAlexW2009915261MaRDI QIDQ257391

Maria Clara Fasciolo, Fulvio De Santis, Stefania Gubbiotti

Publication date: 17 March 2016

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10260-012-0225-0

zbMATH Keywords

clinical trialsBayesian robustnesssample size determinationconjugate analysis

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (1)

Most stable sample size determination in clinical trials

Cites Work

• Ranges of posterior measures for priors with unimodal contaminations
• Uniform and subuniform posterior robustness: The sample size problem. (With discussion)
• Robust Bayesian analysis: sensitivity to the prior
• A simulation-based approach to Bayesian sample size determination for performance under a given model and for separating models
• Neutral noninformative and informative conjugate beta and gamma prior distributions
• Robust Bayesian sample size determination for avoiding the range of equivalence in clinical trials
• A BAYESIAN METHOD FOR THE CHOICE OF THE SAMPLE SIZE IN EQUIVALENCE TRIALS
• Optimal Experimental Design for Another's Analysis
• Bayesian Experimental Design: A Review
• The Stromberg wavelet and the Franklin system
• Design of Experiment for Bioassay
• Sample Size Determination for Robust Bayesian Analysis

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