Bayesian predictive monitoring with bivariate binary outcomes in phase II clinical trials

DOI10.1016/j.csda.2018.06.015OpenAlexW2810707202WikidataQ129575119 ScholiaQ129575119MaRDI QIDQ1727847

Valeria Sambucini

Publication date: 21 February 2019

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2018.06.015

zbMATH Keywords

phase II clinical trialsDirichlet-multinomial modelBayesian monitoringefficacy and safety endpointsposterior predictive probabilities

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian problems; characterization of Bayes procedures (62C10)

Related Items (3)

Stopping for efficacy in single-arm phase II clinical trials ⋮ Special issue on biostatistics ⋮ Efficacy and toxicity monitoring via Bayesian predictive probabilities in phase II clinical trials

Uses Software

• R
• BOP2

Cites Work

• Unnamed Item
• Bayesian two-stage design for phase II clinical trials with switching hypothesis tests
• Incorporating Bayesian ideas into health-care evaluation
• Adaptive Two-Stage Designs for Single-Arm Phase IIA Cancer Clinical Trials
• Designs for Phase II Trials Allowing for a Trade-Off between Response and Toxicity
• Incorporating Toxicity Considerations Into the Design of Two-Stage Phase II Clinical Trials
• Decision Theoretic Designs for Phase II Clinical Trials with Multiple Outcomes
• Practical Bayesian Guidelines for Phase IIB Clinical Trials
• Bivariate Sequential Designs for Phase II Trials

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