Likelihood inference for a two-stage design with treatment selection
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Publication:3076084
DOI10.1002/bimj.200900170zbMath1208.62166OpenAlexW2068090683WikidataQ57721619 ScholiaQ57721619MaRDI QIDQ3076084
Vladimir Dragalin, Ionut Bebu, George Luta
Publication date: 17 February 2011
Published in: Biometrical Journal (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/bimj.200900170
Parametric tolerance and confidence regions (62F25) Applications of statistics to biology and medical sciences; meta analysis (62P10) Testing in survival analysis and censored data (62N03)
Related Items (6)
Conditional Estimation in Two-Stage Adaptive Designs ⋮ A comparison between two treatments in a clinical trial with an ethical allocation design ⋮ Adjusting for selection bias in assessing treatment effect estimates from multiple subgroups ⋮ Conditionally unbiased and near unbiased estimation of the selected treatment mean for multistage drop‐the‐losers trials ⋮ Confidence intervals for confirmatory adaptive two‐stage designs with treatment selection ⋮ A distribution-free approach for selecting better treatment through an ethical allocation
Cites Work
- Two stage conditionally unbiased estimators of the selected mean
- Likelihood based frequentist inference when data are missing at random
- Estimation following selection of the largest of two normal means
- Point estimates and confidence regions for sequential trials involving selection
- Adaptive Group Sequential Designs for Clinical Trials: Combining the Advantages of Adaptive and of Classical Group Sequential Approaches
- Recursive Combination Tests
- Evaluation of Experiments with Adaptive Interim Analyses
- Phase 2 and 3 Combination Designs to Accelerate Drug Development
- Maximization by Parts in Likelihood Inference
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