Publication | Closed Access
Toolkit for Weighting and Analysis of Nonequivalent Groups: A tutorial for the twang package
280
Citations
16
References
2014
Year
Unknown Venue
EngineeringTreatment EffectQuasi-experimentCausal InferencePreventive MedicineData ScienceData MiningBiasStatistical ComputingRandomized Controlled TrialBiostatisticsPublic HealthStatisticsTwang PackageSelection BiasHealth PolicySocial ImpactStatistical GeneticsApplied Social PsychologyBioinformaticsNonequivalent GroupsPropensity Score Weights
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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