Matching on‐the‐fly: Sequential allocation with higher power and efficiency

DOI10.1111/biom.12148zbMath1419.62375arXiv1305.4981OpenAlexW1492677567WikidataQ45885236 ScholiaQ45885236MaRDI QIDQ5170207

Adam Kapelner, Abba M. Krieger

Publication date: 22 July 2014

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1305.4981

zbMATH Keywords

matchingclinical trialssequential allocationsquared Mahalanobis distancealternatives to randomization

Mathematics Subject Classification ID

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

Related Items (6)

A matching procedure for sequential experiments that iteratively learns which covariates improve power ⋮ Better experimental design by hybridizing binary matching with imbalance optimization ⋮ Pair-Switching Rerandomization ⋮ OptimalA PrioriBalance in the Design of Controlled Experiments ⋮ Covariate-Adaptive Optimization in Online Clinical Trials ⋮ Power efficiency of Efron's biased coin design

Uses Software

• BayesTree
• DOS
• BartPy

Cites Work

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• BART: Bayesian additive regression trees
• Rerandomization to improve covariate balance in experiments
• Handling covariates in the design of clinical trials
• On regression adjustments to experimental data
• Using Multivariate Matched Sampling and Regression Adjustment to Control Bias in Observational Studies
• A Treatment Allocation Procedure for Sequential Clinical Trials
• Optimum biased coin designs for sequential clinical trials with prognostic factors
• The Theory of Response‐Adaptive Randomization in Clinical Trials
• Forcing a sequential experiment to be balanced
• Optimal multivariate matching before randomization
• Design of observational studies
• Random forests

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