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Published in 2024 at "Statistics in Medicine"
DOI: 10.1002/sim.10220
Abstract: Response‐adaptive randomization (RAR) procedures have been extensively studied in the literature, but most of the procedures rely on updating the randomization after each response, which is impractical in many clinical trials. In this article, we…
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Keywords:
adaptive randomization;
response adaptive;
response;
group ... See more keywords
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Published in 2024 at "Statistics in Medicine"
DOI: 10.1002/sim.10286
Abstract: In clinical trials, subjects are usually recruited sequentially. According to the outcomes amassed thus far in a trial, the response‐adaptive randomization (RAR) design has been shown to be an advantageous treatment assignment procedure that skews…
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Keywords:
adaptive randomization;
response adaptive;
procedure;
surrogate endpoints ... See more keywords
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Published in 2017 at "Journal of Biopharmaceutical Statistics"
DOI: 10.1080/10543406.2016.1269780
Abstract: ABSTRACT Seamless phase II/III clinical trials have attracted increasing attention recently. They mainly use Bayesian response adaptive randomization (RAR) designs. There has been little research into seamless clinical trials using frequentist RAR designs because of…
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Keywords:
response adaptive;
allocation proportions;
statistical inference;
adaptive randomization ... See more keywords
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Published in 2024 at "Biometrics"
DOI: 10.1093/biomtc/ujae049
Abstract: Doubly adaptive biased coin design (DBCD), a response-adaptive randomization scheme, aims to skew subject assignment probabilities based on accrued responses for ethical considerations. Recent years have seen substantial advances in understanding DBCD's theoretical properties, assuming…
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Keywords:
adaptive randomization;
response adaptive;
model;
model misspecification ... See more keywords
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Published in 2025 at "Biometrics"
DOI: 10.1093/biomtc/ujaf036
Abstract: Covariate-adaptive randomization (CAR) is widely adopted in clinical trials to ensure balanced treatment allocations across key baseline covariates. Although much research has focused on analyzing average treatment effects, the inference of relative risk under CAR…
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Keywords:
adaptive randomization;
risk;
covariate adaptive;
relative risk ... See more keywords
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Published in 2022 at "Biometrics"
DOI: 10.1111/biom.13673
Abstract: When planning a two-arm group sequential clinical trial with a binary primary outcome that has severe implications for quality of life (e.g., mortality), investigators may strive to find the design that maximizes in-trial patient benefit.…
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Keywords:
adaptive randomization;
response adaptive;
patient benefit;
trial ... See more keywords
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Published in 2022 at "Statistical methods in medical research"
DOI: 10.1177/09622802231167437
Abstract: Response-adaptive randomization allows the probabilities of allocating patients to treatments in a clinical trial to change based on the previously observed response data, in order to achieve different experimental goals. One concern over the use…
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Keywords:
adaptive randomization;
response adaptive;
error rate;
response ... See more keywords
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Published in 2024 at "Statistical Methods in Medical Research"
DOI: 10.1177/09622802241313283
Abstract: Balancing influential covariates is crucial for valid treatment comparisons in clinical studies. While covariate-adaptive randomization is commonly used to achieve balance, its performance can be inadequate when the number of baseline covariates is large. It…
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Keywords:
randomization approach;
balance;
covariate selection;
adaptive randomization ... See more keywords
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Published in 2022 at "Clinical Trials"
DOI: 10.1177/17407745211065762
Abstract: Response-adaptive randomization, which changes the randomization ratio as a randomized clinical trial progresses, is inefficient as compared to a fixed 1:1 randomization ratio in terms of increased required sample size. It is also known that…
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Keywords:
adaptive randomization;
response adaptive;
randomization;
time trends ... See more keywords
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Published in 2018 at "Statistica Sinica"
DOI: 10.5705/ss.202016.0538
Abstract: Covariate balance among different treatment arms is critical in clinical trials, as confounding effects can be effectively eliminated when patients in different arms are alike. To balance the prognostic factors across different arms, we propose…
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Keywords:
kernel based;
discrete covariates;
adaptive randomization;
based adaptive ... See more keywords