Drop-the-Losers Design: Normal Case

DOI10.1002/bimj.200410119zbMath1442.62603OpenAlexW2167418013WikidataQ51968007 ScholiaQ51968007MaRDI QIDQ5122631

Allan R. Sampson, Michael W. Sill

Publication date: 23 September 2020

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.200410119

zbMATH Keywords

confidence intervalsconditional testsranking and selectionphase II clinical trialphase III clinical trialdrop-the-losers designinference after selectionstrong control of error

Mathematics Subject Classification ID

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

Related Items (6)

Optimizing Sample Size Allocation and Power in a Bayesian Two-Stage Drop-the-Losers Design ⋮ Conditionally unbiased estimation in the normal setting with unknown variances ⋮ Admissible and minimax estimation of the parameters of the selected normal population in two-stage adaptive designs under reflected normal loss function ⋮ Two-stage winner designs for non-inferiority trials with pre-specified non-inferiority margin ⋮ Drop-the-losers design: binomial case ⋮ Statistical methods for replicability assessment

This page was built for publication: Drop-the-Losers Design: Normal Case