A conditional error function approach for adaptive enrichment designs with continuous endpoints

DOI10.1002/sim.8154zbMATH Open1545.62503MaRDI QIDQ6624677

Marius Placzek, Tim Friede

Publication date: 28 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

multiple testingadaptive designsubgroup analysisenrichmentinterim analysis

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• A generalized Dunnett test for multi-arm multi-stage clinical studies with treatment selection
• Adaptive designs for subpopulation analysis optimizing utility functions
• Adaptive Group Sequential Designs for Clinical Trials: Combining the Advantages of Adaptive and of Classical Group Sequential Approaches
• A Multiple Comparison Procedure for Comparing Several Treatments with a Control
• On closed testing procedures with special reference to ordered analysis of variance
• Recursive Combination Tests
• Design and monitoring of multi‐arm multi‐stage clinical trials
• Modification of Sample Size in Group Sequential Clinical Trials
• Adaptive Sample Size Calculations in Group Sequential Trials
• Evaluation of Experiments with Adaptive Interim Analyses
• Confirmatory Seamless Phase II/III Clinical Trials with Hypotheses Selection at Interim: General Concepts
• Confirmatory Seamless Phase II/III Clinical Trials with Hypotheses Selection at Interim: Applications and Practical Considerations
• A Comparison of Methods for Adaptive Treatment Selection
• Simultaneous Test Procedures--Some Theory of Multiple Comparisons

Related Items (2)

Blinded sample size recalculation in adaptive enrichment designs ⋮ Blinded sample size recalculation in multiple composite population designs with normal data and baseline adjustments

This page was built for publication: A conditional error function approach for adaptive enrichment designs with continuous endpoints