Optimizing Sample Size Allocation and Power in a Bayesian Two-Stage Drop-the-Losers Design

DOI10.1080/00031305.2019.1610065OpenAlexW2943565009WikidataQ100298076 ScholiaQ100298076MaRDI QIDQ5055473

Anna McGlothlin, Byron J. Gajewski, Stefan Graw, Richard Meier, Alex G. Karanevich

Publication date: 14 December 2022

Published in: The American Statistician (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00031305.2019.1610065

zbMATH Keywords

poweradaptive designstwo-stage trialR shinyseamless phase II/III clinical trialstaged design

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• R

Cites Work

• Unnamed Item
• A generalized Dunnett test for multi-arm multi-stage clinical studies with treatment selection
• A Two-Stage Design for Choosing among Several Experimental Treatments and a Control in Clinical Trials
• A Multiple Comparison Procedure for Comparing Several Treatments with a Control
• Interim Analysis in Clinical Trials: The Role of the Likelihood Principle
• Drop-the-Losers Design: Normal Case