maihda_health_data: NHANES Health Data Subset for MAIHDA Use

In MAIHDA: Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy

NHANES Health Data Subset for MAIHDA Use

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 complete records demonstrating intersectional demographic health inequalities.

Usage

maihda_health_data

Format

A data frame with 3,000 rows and 6 variables:

BMI

Body Mass Index (kg/m^2), a continuous outcome variable.

Age

Age in years at screening, a continuous covariate.

Gender

Gender of the participant (male/female).

Race

Self-reported race/ethnicity.

Education

Educational attainment level.

Poverty

Poverty to income ratio, a continuous covariate.

Source

Derived from the NHANES R package. Original data collected by the Centers for Disease Control and Prevention (CDC).

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)

MAIHDA documentation built on April 5, 2026, 5:06 p.m.