… constructed to balance the covariate distributions of the treatment groups to a target
distribution (usually the full population). We do so by leveraging the energy distance presented in …

… We have selected three of them, namely: energy balancing (EB) [8], kernel optimal matching
(KOM) [9, 10], and … We also show the weights distributions of the treated and control groups. …

… properties of the energy distance for measuring distance between distributions to derive a …
estimating the ATE that uses the energy distance balancing score and hence does not require …

… to check that the distributions of the covariate values of the … obvious areas of the covariate
distributions where there is a lack … the same covariate in the two groups or by distribution plots …

… ancing was proposed as an alternative balancing framework. It … covariate distributions. In
this paper, we propose Mahalanobis balancing to approximately balance covariate distributions …

… density functions (eCDFs) of each covariate between groups allow assessment of imbalance
across the entire covariate distribution of that covariate rather than just its mean or variance…

… To maximize covariates distributions balancing, we expect to minimize ‖ … So our method
achieves optimal covariates distributions balancing. … Energy balancing of covariate distributions …

… treated and control groups by balancing the kernel matrix instead of original covariates .
Energy balancing [21] aims to balance the distribution of covariates. However, these methods …

… energy intake and inversely associated with physical activity, few studies have examined
breast cancer risk in association with energy balance, the balance between energy … , energy …

… recommendations for choosing covariates and evaluating covariate balance so that researchers
… in the exposed and nonexposed group is one way to examine covariate distributions. …