TWANG, the Toolkit for Weighting and Analysis of Nonequivalent Groups, developed by the statistics group of the RAND Corporation, contains a set of functions to support Rubin causal modeling of observational data through the estimation and evaluation of propensity score weights by applying gradient boosting. It has been applied in several studies.[1][2][3][4][5]
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editReferences
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- ^ Griffin, B. A.; Ramchand, R.; Almirall, D.; Slaughter, M. E.; Burgette, L. F.; McCaffery, D. F. (2014). "Estimating the causal effects of cumulative treatment episodes for adolescents using marginal structural models and inverse probability of treatment weighting". Drug and Alcohol Dependence. 136: 69–78. doi:10.1016/j.drugalcdep.2013.12.017. PMC 3969884. PMID 24440050.
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- ^ Pollack, Craig Evan; Griffin, Beth Ann; Lynch, Julia (December 2010). "Housing Affordability and Health Among Homeowners and Renters". American Journal of Preventive Medicine. 39 (6): 515–521. doi:10.1016/j.amepre.2010.08.002. PMID 21084071.