• 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 dose-response 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 dose-response 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 data-driven 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 scalar-dimensional 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 MA-DR 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]
  • /1082-989X.9.4.403>, ’CBPS’ for covariate balancing propensity score weighting (Imai & Ratkovic, 2014) , ’ebal ... SuperLearner’ for stacked machine learning-based 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 propensity-score 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...