
mipmatch
 Referenced in 11 articles
[sw06773]
 network algorithms, which attempt to achieve covariate balance by minimizing the total sum of distances ... matched controls, this new method achieves covariate balance directly, either by minimizing both the total ... finely or nearfinely balance only a single nominal covariate. From a practical standpoint, this ... controlled and systematic way of improving covariate balance by focusing the matching efforts on certain...

sbw
 Referenced in 10 articles
[sw21948]
 Stable weights that balance covariates for estimation with incomplete outcome data. Weighting methods that adjust ... that adjust or balance the empirical distribution of the observed covariates up to levels prespecified ... pairs and triples of observed covariates, thus, balancing entire two and threeway marginals. Since ... relation to the level of covariate balance adjustment, answering the question, how much does tightening...

CBPS
 Referenced in 6 articles
[sw17528]
 package CBPS. Covariate Balancing Propensity Score. Implements the covariate balancing propensity score (CBPS) proposed ... such that it maximizes the resulting covariate balance as well as the prediction of treatment...

RICPAC
 Referenced in 61 articles
[sw15253]
 even in cases where all cost or covariance matrices are singular or illconditioned with ... noise is handled directly. Both systemtheoretic balancing and Ward’s balancing for the generalized...

WeightIt
 Referenced in 1 article
[sw35700]
 package WeightIt: Weighting for Covariate Balance in Observational Studies. Generates weights to form equivalent groups ... /1082989X.9.4.403>, ’CBPS’ for covariate balancing propensity score weighting (Imai & Ratkovic, 2014) , ’ebal ... /01621459.2015.1023805>, ’ATE’ for empirical balancing calibration weighting (Chan, Yam, & Zhang, 2016) covariate balance by interfacing directly with ’cobalt...

pscore2
 Referenced in 1 article
[sw31881]
 Stata module to enforce balancing score property in each covariate dimension. Propensity score matching ... validity of this approach relies on the balancing property of the propensity score. In practice ... facilitate the actual requirement of covariate balance. The command pscore2 overcomes these drawbacks. It determines ... convergence to the largest subinterval where covariate balance holds is achieved. The provided options allow...

KBAL
 Referenced in 3 articles
[sw36072]
 package KBAL: Package for implementation of kernel balancing. Investigators often use matching and weighting techniques ... choose what functions of the covariates must be balanced, and do not in general ensure ... biased if any function of the covariates influencing the outcome has a different mean ... approximate mean balance on a large class of smooth functions of the covariates...

ATE
 Referenced in 1 article
[sw35701]
 Inference for Average Treatment Effects using Covariate Balancing. Nonparametric estimation and inference for average treatment ... effects based on covariate balancing...

optweight
 Referenced in 1 article
[sw35699]
 optimization to estimate weights that balance covariates for binary, multinomial, and continuous treatments ... /01621459.2015.1023805>. The degree of balance can be specified for each covariate. In addition, sampling weights...

rcbalance
 Referenced in 1 article
[sw16378]
 studies. Provisions are made for refined covariate balance constraints, which include fine and nearfine...

PSW
 Referenced in 1 article
[sw35702]
 treatment groups with mirror histogram, (2) covariate balance diagnosis, (3) propensity score model specification test...

estweight
 Referenced in 1 article
[sw38235]
 compare different approaches (logistic regression, covariate balancing propensity score, entropy balancing, and random forest...

GI
 Referenced in 2 articles
[sw37308]
 checking balance of baseline covariates that confound efforts to draw valid conclusions about treatment effects...

CCRA
 Referenced in 2 articles
[sw37247]
 that meet specified criteria based on certain covariates available at the baseline. We describe ... grouprandomized design that ensures balance on relevant covariates. The application of the macro...

DiPs
 Referenced in 3 articles
[sw35669]
 with nearfine balance by giving penalties on the unbalanced covariates with the unbalanced directions...

PSAgraphics
 Referenced in 1 article
[sw25529]
 box.psa to test balance within strata of categorical and quantitative covariates, circ.psa for a representation ... loess based effect size estimate, and various balance functions that provide ... measures of the balance achieved via a PSA in a categorical covariate...

ebal
 Referenced in 1 article
[sw24557]
 create balanced samples. Package implements entropy balancing, a data preprocessing procedure that allows users ... reweight a dataset such that the covariate distributions in the reweighted data satisfy ... conditions. This can be useful to create balanced samples in observational studies with a binary ... match the covariate moments in the treatment group. Entropy balancing can also be used...

ebalance
 Referenced in 1 article
[sw24556]
 Balancing. The Stata package ebalance implements entropy balancing, a multivariate reweighting method described in Hainmueller ... reweight a dataset such that the covariate distributions in the reweighted data satisfy ... conditions. This can be useful to create balanced samples in observational studies with a binary ... match the covariate moments in the treatment group. Entropy balancing can also be used...

GreedyExperimentalDesign
 Referenced in 1 article
[sw18151]
 experiment with covariates by greedily optimizing a balance objective function. This optimization provides lower variance...

CCR
 Referenced in 1 article
[sw37246]
 Macro for CovariateConstrained Randomization of General ClusterRandomized and Unstratified Designs. Ivers ... face validity of balancing allocations to study arms on relevant covariates. While several techniques exist...