R/nmes_data.R

In causaldrf: Estimating Causal Dose Response Functions

#' Data set containing data from the National Medical Expenditure Survey (NMES)
#'
#'
#' Data set from the NMES.
#' with 9708 observations and 12 variables.
#'
#'
#' @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.
#' \emph{Journal of the American Statistical Association}, \bold{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.
#'
#' @usage
#' data(nmes_data)
#'
#' @examples
#' data(nmes_data)
#' head(nmes_data)
#'
"nmes_data"