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Evaluation of subset matching methods and forms of covariate balance
Statistics in Medicine, 2016This paper conducts a Monte Carlo simulation study to evaluate the performance of multivariate matching methods that select a subset of treatment and control observations. The matching methods studied are the widely used nearest neighbor matching with propensity score calipers and the more recently proposed methods, optimal matching of an optimally ...
de los Angeles Resa, María +1 more
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Covariate balancing for high-dimensional samples in controlled experiments
Journal of the Operational Research SocietyIn controlled experiments, achieving covariate balancing across all groups is crucial as it ensures that the estimated treatment effects are not confounded by the effects of covariates. This study proposes a mixed-integer nonlinear programming model to address the covariate balancing problem. Specifically, we introduce a new covariate imbalance measure,
Xi Luo +3 more
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Matching to Improve Balance in Covariate Distributions
2015INTRODUCTION In observational studies, the researcher has no control over the assignment of the treatment to units. This lack of control makes such studies inherently more sensitive and controversial than evaluations based on randomized assignment, where biases can be eliminated automatically, at least in expectation, through design, and as a result,
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Balancing the Scales: A Configurational Approach to Work-Life Balance
Annual Review of Organizational Psychology and Organizational Behavior, 2021Dana Harari Hamam, Arianna M Beetz
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Review of the Upright Balance Assessment Based on the Force Plate
International Journal of Environmental Research and Public Health, 2021Feiyun Xiao, Baoliang Chen
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Neocortical Excitation/Inhibition Balance in Information Processing and Social Dysfunction
Nature, 2011Jeanne T. Paz +2 more
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