2014 · 280 citations · 16 references
Public HealthBiostatisticsCausal InferenceEpidemiologic MethodsExperimental DesignCausal Effect EstimationMatching MethodsPropensity ModelingPropensity Score MethodsSubgroup AnalysisTreatment EffectsCausal Interaction ModelingDirect Treatment EffectsNonequivalent Groups DesignObservational Data ModelingPropensity Score Adjustment
The Toolkit for Weighting and Analysis of Nonequivalent Groups, or TWANG, contains a set of functions to support causal modeling of observational data through the estimation and evaluation of propensity score weights. The TWANG package was first developed in 2004 by RAND researchers for the R statistical computing language and environment. The R version of the package contains functions for creating high-quality propensity score weights which can be used to estimate treatment effects with two or more treatment groups.
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Greedy function approximation: A gradient boosting machine.
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