Optimal Conditional Error Functions for the Control of Conditional Power

DOI10.1111/j.0006-341X.2004.00221.xzbMath1274.62729WikidataQ80511489 ScholiaQ80511489MaRDI QIDQ3445294

Peter Bauer, Werner Brannath

Publication date: 11 June 2007

Published in: Biometrics (Search for Journal in Brave)

Mathematics Subject Classification ID

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

Related Items (5)

A note on the shape of sample size functions of optimal adaptive two-stage designs ⋮ Optimization of adaptive designs with respect to a performance score ⋮ On the efficiency of adaptive designs for flexible interim decisions in clinical trials ⋮ An Approach to the Conditional Error Rate Principle with Nuisance Parameters ⋮ Adaptive designs with arbitrary dependence structure

Uses Software

• Mathematica

Cites Work

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• On Sample Size and Inference for Two‐Stage Adaptive Designs
• Adaptive Group Sequential Designs for Clinical Trials: Combining the Advantages of Adaptive and of Classical Group Sequential Approaches
• Self-Designing Two-Stage Trials to Minimize Expected Costs
• Approximately Optimal One-Parameter Boundaries for Group Sequential Trials
• Stochastically curtailed tests in long–term clinical trials
• Designed Extension of Studies Based on Conditional Power
• THE ATTRACTIVENESS OF THE CONCEPT OF A PROSPECTIVELY DESIGNED TWO-STAGE CLINICAL TRIAL
• Optimal asymmetric one-sided group sequential tests
• Modification of Sample Size in Group Sequential Clinical Trials
• Adaptive Sample Size Calculations in Group Sequential Trials
• Interim Analysis and Sample Size Reassessment
• Evaluation of Experiments with Adaptive Interim Analyses

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