A numerical study for comparing two response-adaptive designs for continuous treatment effects

DOI10.1007/s10260-006-0042-4zbMath1405.62196OpenAlexW1995453874MaRDI QIDQ635893

Anna Maria Paganoni, Piercesare Secchi

Publication date: 25 August 2011

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10260-006-0042-4

zbMATH Keywords

clinical trialsurn schemesresponse adaptive designs

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Sequential statistical design (62L05)

Related Items (7)

A functional equation whose unknown is \(\mathcal{P}([0,1)\) valued] ⋮ Statistical properties of two-color randomly reinforced urn design targeting fixed allocations ⋮ Asymptotic Properties of Multicolor Randomly Reinforced Pólya Urns ⋮ On the distribution of the limit proportion for a two-color, randomly reinforced urn with equal reinforcement distributions ⋮ An urn model to construct an efficient test procedure for response adaptive designs ⋮ Asymptotics in response-adaptive designs generated by a two-color, randomly reinforced urn ⋮ A central limit theorem, and related results, for a two-color randomly reinforced urn

Cites Work

• Unnamed Item
• Unnamed Item
• Subjective expected utility: A review of normative theories
• Asymptotic properties of doubly adaptive biased coin designs for multitreatment clinical trials.
• A randomly reinforced urn
• Adaptive designs for normal responses with prognostic factors
• RANDOMIZED URN MODELS AND SEQUENTIAL DESIGN
• The Randomized Play-the-Winner Rule in Medical Trials
• A sequential design for maximizing the probability of a favourable response
• Optimality, Variability, Power
• On the distribution of the limit proportion for a two-color, randomly reinforced urn with equal reinforcement distributions
• Bayesian Adaptive Biased‐Coin Designs for Clinical Trials with Normal Responses

This page was built for publication: A numerical study for comparing two response-adaptive designs for continuous treatment effects