| nmes_data {causaldrf} | R Documentation |
Data set containing data from the National Medical Expenditure Survey (NMES)
Description
Data set from the NMES. with 9708 observations and 12 variables.
Usage
data(nmes_data)
Format
A dataset containing 9708 observations and 12 variables.
References
Imai, K., & van Dyk, D.A. (2004). Causal Inference With General Treatment Regimes: Generalizing the Propensity Score. Journal of the American Statistical Association, 99(467).
National Center for Health Services Research and Health Care Technology Assessment. NATIONAL MEDICAL EXPENDITURE SURVEY, 1987: INSTITUTIONAL POPULATION COMPONENT. Rockville, MD: Westat, Inc. [producer], 1987. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 1990. doi:10.3886/ICPSR09280.v1
Bryer, Jason M. "TriMatch: An R Package for Propensity Score Matching of Non-binary Treatments." The R User Conference, useR! 2013 July 10-12 2013 University of Castilla-La Mancha, Albacete, Spain. Vol. 10. No. 30. 2013.
Examples
data(nmes_data)
head(nmes_data)