TWANG

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]

For other uses, see TWANG (disambiguation).

References
  1. Effectiveness of treatment for adolescent substance use: is biological drug testing sufficient? Schuler MS, Griffin BA, Ramchand R, Almirall D, McCaffrey DF. J Stud Alcohol Drugs. 2014 Mar;75(2):358-70.
  2. Estimating the causal effects of cumulative treatment episodes for adolescents using marginal structural models and inverse probability of treatment weighting. Griffin BA, Ramchand R, Almirall D, Slaughter ME, Burgette LF, McCaffery DF. Drug Alcohol Depend. 2014 Mar 1;136:69-78
  3. The effectiveness of community-based delivery of an evidence-based treatment for adolescent substance use. Hunter SB, Ramchand R, Griffin BA, Suttorp MJ, McCaffrey D, Morral A. J Subst Abuse Treat. 2012 Sep;43(2):211-20
  4. The Relationship Between Urban Sprawl and Coronary Heart Disease in Women. Beth Ann Griffin, Christine Eibner, Chloe E. Bird, Adria D. Jewell, Karen L Margolis, Regina A. Shih, Mary Ellen Slaughter, Eric A Whitsel, Matthew Allison, Jose J. Escarce. Health & Place, v. 20, Mar. 2013, p. 51-61
  5. Housing Affordability and Health Among Homeowners and Renters. Craig Evan Pollack, Beth Ann Griffin, Julia Lynch. American Journal of Preventive Medicine, v. 39, no. 6, Dec. 2010, p. 515-521.
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