Asymptotic normality of urn models for clinical trials with delayed response
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Publication:1880900
DOI10.3150/BJ/1089206406zbMath1054.62083OpenAlexW2034477716MaRDI QIDQ1880900
Publication date: 24 September 2004
Published in: Bernoulli (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.bj/1089206406
Applications of statistics to biology and medical sciences; meta analysis (62P10) Sequential statistical design (62L05)
Related Items (13)
A new family of covariate-adjusted response adaptive designs and their properties ⋮ A Modification of a Percentile Estimation Procedure Based on Generalized Polya Urns ⋮ The Gaussian approximation for generalized Friedman's urn model with heterogeneous and unbalanced updating ⋮ Response-adaptive randomization in clinical trials: from myths to practical considerations ⋮ Immigrated urn models-theoretical properties and applications ⋮ Asymptotic Results for a Generalized Pólya Urn with “Multi-Updating” and Applications to Clinical Trials ⋮ Some practical issues of adaptive GPU design ⋮ Adaptative Designs for Multi-Arm Clinical Trials: The Play-the-Winner Rule Revisited ⋮ Doubly adaptive biased coin designs with delayed responses ⋮ The Gaussian approximation for multi-color generalized Friedman's urn model ⋮ Adaptive clinical trial designs to detect interaction between treatment and a dichotomous biomarker ⋮ Mean and variance of balanced Pólya urns ⋮ Interim analysis of clinical trials based on urn models
Cites Work
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- Central limit theorems for urn models
- Asymptotic theorems for urn models with nonhomogeneous generating matrices
- Asymptotic properties of adaptive designs for clinical trials with delayed response
- RANDOMIZED URN MODELS AND SEQUENTIAL DESIGN
- Exact two-sample permutation tests based on the randomized play-the-winner rule
- Delayed Response in Randomized Play-The-Winner Rule; A Decision Theoretic Outlook
- A sequential design for maximizing the probability of a favourable response
- Optimality, Variability, Power
- Embedding of Urn Schemes into Continuous Time Markov Branching Processes and Related Limit Theorems
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