On Sample Size and Inference for Two‐Stage Adaptive Designs

DOI10.1111/j.0006-341X.2001.00172.xzbMath1209.62179OpenAlexW2032776661WikidataQ47216584 ScholiaQ47216584MaRDI QIDQ3078701

Qing Liu, G. Y. H. Chi

Publication date: 1 March 2011

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.0006-341x.2001.00172.x

zbMATH Keywords

adjusted p-valueadaptive designexact inferencepoint estimatetype I error rateFisher's combination testsample size adjustmentconditional erroradjusted confidence intervals

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Sequential statistical design (62L05) Estimation in survival analysis and censored data (62N02)

Related Items (13)

Benefit–Risk Evaluation of Multi-Stage Adaptive Designs ⋮ Optimal Conditional Error Functions for the Control of Conditional Power ⋮ Estimation of a Parameter and Its Exact Confidence Interval Following Sequential Sample Size Reestimation Trials ⋮ Optimal group sequential designs constrained on both overall and stage one error rates ⋮ An optimal design in a two-stage ethical allocation based on U-statistics ⋮ Adaptive Design and Estimation in Randomized Clinical Trials with Correlated Observations ⋮ Probabilistic Foundation of Confirmatory Adaptive Designs ⋮ On design and inference for two-stage adaptive clinical trials with dependent data ⋮ Adaptive group sequential confidence intervals for the ratio of normal means ⋮ Data-Driven Analysis Strategies for Proportion Studies in Adaptive Group Sequential Test Designs ⋮ Sequential Methods in Multi-Arm Clinical Trials ⋮ Discussion on “Second-Guessing Clinical Trial Designs” by Jonathan J. Shuster and Myron N. Chang ⋮ A Bayesian adaptive design for two-stage clinical trials with survival data

Cites Work

• Designed Extension of Studies Based on Conditional Power
• A Comparison of Two Methods for Adaptive Interim Analyses in Clinical Trials
• Statistical Inference for Self‐Designing Clinical Trials with a One‐Sided Hypothesis
• Evaluation of Experiments with Adaptive Interim Analyses

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