Decision‐theoretic designs for a series of trials with correlated treatment effects using the Sarmanov multivariate beta‐binomial distribution

DOI10.1002/bimj.201600202zbMath1387.62114OpenAlexW2737356887WikidataQ38660962 ScholiaQ38660962MaRDI QIDQ4634681

Siew Wan Hee, Nicholas Parsons, Nigel Stallard

Publication date: 11 April 2018

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.201600202

zbMATH Keywords

backward inductionBayesian decision theorybivariate beta distributioncorrelated trialsSarmanov beta-binomial

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian problems; characterization of Bayes procedures (62C10)

Related Items (1)

On a class of bivariate mixed Sarmanov distributions

Cites Work

• Who solved the secretary problem
• Constructions for a bivariate beta distribution
• Decision-Theoretic Designs for Pre-Phase II Screening Trials in Oncology
• Decision-Theoretic Designs for Phase II Clinical Trials Allowing for Competing Studies
• One-Sided Sequential Stopping Boundaries for Clinical Trials: A Decision- Theoretic Approach
• Bayesian Optimal Design for Phase II Screening Trials
• Properties and applications of the sarmanov family of bivariate distributions
• Confirmatory Seamless Phase II/III Clinical Trials with Hypotheses Selection at Interim: General Concepts
• Screening designs for drug development

This page was built for publication: Decision‐theoretic designs for a series of trials with correlated treatment effects using the Sarmanov multivariate beta‐binomial distribution