% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/maihda_health_data.R
\docType{data}
\name{maihda_health_data}
\alias{maihda_health_data}
\title{NHANES Health Data Subset for MAIHDA Use}
\format{
A data frame with 3,000 rows and 7 variables:
\describe{
  \item{BMI}{Body Mass Index (kg/m^2), a continuous outcome variable.}
  \item{Obese}{Factor indicating obesity status (No/Yes).}
  \item{Age}{Age in years at screening, a continuous covariate.}
  \item{Gender}{Gender of the participant (male/female).}
  \item{Race}{Self-reported race/ethnicity.}
  \item{Education}{Educational attainment level.}
  \item{Poverty}{Poverty to income ratio, a continuous covariate. Some values
    may be missing.}
}
}
\source{
Derived from the \code{NHANES} R package. Original data collected by the
Centers for Disease Control and Prevention (CDC).
}
\usage{
maihda_health_data
}
\description{
A pedagogical subset of the National Health and Nutrition Examination Survey
(NHANES) dataset, serving as a real-world example for Multilevel Analysis
of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA). Contains
selected records demonstrating intersectional demographic health inequalities.
}
\examples{
data(maihda_health_data)

# Example usage:
# strata_result <- make_strata(maihda_health_data, vars = c("Gender", "Race", "Education"))
# model <- fit_maihda(BMI ~ Age + (1 | stratum), data = strata_result$data)
}
\keyword{datasets}
