
Matching
 Referenced in 17 articles
[sw08094]
 package Matching: Multivariate and Propensity Score Matching with Balance Optimization. Provides functions for multivariate ... propensity score matching and for finding optimal balance based on a genetic search algorithm...

PSMATCH2
 Referenced in 12 articles
[sw08726]
 module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance ... testing. psmatch2 implements full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance...

pscore
 Referenced in 8 articles
[sw37358]
 average treatment effects based on propensity scores. In this paper, we give a short overview ... some propensity score matching estimators suggested in the evaluation literature, and we provide...

CBPS
 Referenced in 6 articles
[sw17528]
 package CBPS. Covariate Balancing Propensity Score. Implements the covariate balancing propensity score (CBPS) proposed ... href=”http://dx.doi.org/10.1111/rssb.12027”>doi:10.1111/rssb.12027>. The propensity score is estimated such that it maximizes the resulting...

twang
 Referenced in 8 articles
[sw07993]
 Groups. This package offers functions for propensity score estimating and weighting, nonresponse weighting, and diagnosis...

doseresponse
 Referenced in 2 articles
[sw30475]
 function through adjustment for the generalized propensity score. In this article, we brieﬂy review ... role of the propensity score in estimating doseresponse functions as described in Hirano ... Stata programs that estimate the propensity score in a setting with a continuous treatment, test ... balancing property of the generalized propensity score, and estimate the doseresponse function. We illustrate...

pstest
 Referenced in 1 article
[sw17751]
 package pstest. Specification Tests for Parametric Propensity Score Models. The propensity score ... intervention, or policy. Given that the propensity score is usually unknown ... correct specification of the (parametric) propensity score. This package provides datadriven nonparametric diagnostic tools ... detecting propensity score misspecification...

PSW
 Referenced in 1 article
[sw35702]
 package PSW: Propensity Score Weighting Methods for Dichotomous Treatments. Provides propensity score weighting methods ... functional modules: (1) visualization of the propensity score distribution in both treatment groups with mirror ... histogram, (2) covariate balance diagnosis, (3) propensity score model specification test, (4) weighted estimation ... sampling variability of the estimated propensity score. These methods are discussed by Hirano...

pscore2
 Referenced in 1 article
[sw31881]
 score property in each covariate dimension. Propensity score matching has become a popular empirical method ... balancing property of the propensity score. In practice, this is verified by using statistical tests ... regarding the correct specification of the propensity score model, nor does it facilitate the actual ... respective scalardimensional support of the propensity score with respect to the criterion that within...

hrIPW
 Referenced in 1 article
[sw29129]
 Model Weighted by the Estimated Propensity Score. Estimates the log hazard ratio associated with ... model weighted by the propensity score. Propensity model is estimated using a simple logistic regression ... Variance estimation takes into account the propensity score estimation step with the method proposed...

PSweight
 Referenced in 1 article
[sw35697]
 package PSweight: Propensity Score Weighting for Causal Inference with Observational Studies and Randomized Trials. Supports ... propensity score weighting analysis of observational studies and randomized trials. Enables the estimation and inference ... entropy weights (ATEN), with and without propensity score trimming. These weights are members...

USPS
 Referenced in 2 articles
[sw25530]
 USPS: Unsupervised and Supervised Methods of Propensity Score Adjustment for Bias. Unsupervised PS Methods define ... provided here attempt to estimate unknow true Propensities with parametric models that can be quite...

GI
 Referenced in 2 articles
[sw37308]
 classification methods (e.g., cluster analysis, propensity score subclassification, Rosenbaum and Rubin 1984), no matter...

PSAgraphics
 Referenced in 1 article
[sw25529]
 package PSAgraphics: Propensity Score Analysis Graphics. A collection of functions that primarily produce graphics ... Propensity Score Analysis (PSA). Functions include: cat.psa and box.psa to test balance within strata...

madr
 Referenced in 1 article
[sw16672]
 outcome model and the propensity score model. The MADR estimator extend the desirable double ... weaker assumption that either the true propensity score model or the true outcome model...

WeightIt
 Referenced in 1 article
[sw35700]
 /1082989X.9.4.403>, ’CBPS’ for covariate balancing propensity score weighting (Imai & Ratkovic, 2014) , ’ebal ... SuperLearner’ for stacked machine learningbased propensity scores (Pirracchio, Petersen, & van der Laan...

estweight
 Referenced in 1 article
[sw38235]
 different approaches (logistic regression, covariate balancing propensity score, entropy balancing, and random forest) for estimating ... account for uncertainty that arises from estimating propensity weights. Simulation studies explore the impact...

sensatt
 Referenced in 1 article
[sw37505]
 program uses the commands for propensityscore matching (att*) developed by Becker and Ichino (Stata...

TangentBoost
 Referenced in 1 article
[sw29974]
 good one in object tracking, propensity scores are obtained improperly in the algorithm. The problem...

G4Hunter
 Referenced in 1 article
[sw27624]
 given sequence and gives a quadruplex propensity score as output. To validate this model...