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Covariates Distributions Balancing for Continuous Treatment
SSRN Electronic Journal, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Qingshan Jiang, Li Xu, Can Huang
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Algorithms and Complexities of Matching Variants in Covariate Balancing
Operations Research, 2023In an observational study there are two disjointed groups of samples, one of treatment samples and the other of control samples. Each of the samples is characterized by several observed covariates. Covariate balancing problems arise when estimating causal effects using observational data.
Dorit S. Hochbaum, Asaf Levin, Xu Rao
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Balancing Unobserved Covariates With Covariate-Adaptive Randomized Experiments
Journal of the American Statistical Association, 2020Balancing important covariates is often critical in clinical trials and causal inference. Stratified permuted block (STR-PB) and covariate-adaptive randomization (CAR) procedures are widely used to...
Yang Liu, Feifang Hu
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How Well Can Fine Balance Work for Covariate Balancing
Biometrics, 2022Abstract Fine balance is a matching technique to improve covariate balance in observational studies. It constrains a match to have identical distributions for some covariates without restricting who is matched to whom. However, despite its wide application and excellent performance in practice, there is very little theory indicating when
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Balanced covariates with response adaptive randomization
Pharmaceutical Statistics, 2017AbstractResponse adaptive randomization (RAR) methods for clinical trials are susceptible to imbalance in the distribution of influential covariates across treatment arms. This can make the interpretation of trial results difficult, because observed differences between treatment groups may be a function of the covariates and not necessarily because of ...
Benjamin R. Saville, Scott M. Berry
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Balancing continuous covariates based on Kernel densities
Contemporary Clinical Trials, 2013The balance of important baseline covariates is essential for convincing treatment comparisons. Stratified permuted block design and minimization are the two most commonly used balancing strategies, both of which require the covariates to be discrete.
Zhenjun, Ma, Feifang, Hu
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Stratification, Balance, and Covariance
Biometrics, 1957Some experimenters seek to avoid the need for randomized block designs by balancing the experimental units assigned to different treatments in respect of an initial quality. A particularly common instance is that of an animal nutrition experiment in which the initial mean weights of animals on the different diets are deliberately equalized by suitable ...
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Cracks in Complex Bodies: Covariance of Tip Balances
Journal of Nonlinear Science, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Statistical Methods in Medical Research, 2019
Adequate baseline covariate balance among groups is critical in observational studies designed to estimate causal effects. Propensity score-based methods are popular ways to achieve covariate balance among groups. Existing methods are not easily generalizable to situations in which covariates of mixed type are collected nor do they provide a ...
Adin-Cristian Andrei, Patrick M McCarthy
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Adequate baseline covariate balance among groups is critical in observational studies designed to estimate causal effects. Propensity score-based methods are popular ways to achieve covariate balance among groups. Existing methods are not easily generalizable to situations in which covariates of mixed type are collected nor do they provide a ...
Adin-Cristian Andrei, Patrick M McCarthy
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Adaptive randomization for balancing over covariates
WIREs Computational Statistics, 2014In controlled clinical trials, balanced allocation over covariates is often viewed as an essential component in ensuring valid treatment comparisons. Minimization, sometimes called ‘dynamic allocation’, or ‘covariate‐adaptive randomization’ has an advantage over stratified randomization, in that it is able to achieve balance over a large number of ...
Hu, Feifang +3 more
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