R package containing versions of NHANES data

Client library in R for connecting to PIC-SURE resources

NHANES 2017-2022 data was used to complete four analyses exploring factors impacting HDL cholesterol in females ages 30 - 55.

Scripts to download and aggregate NHANES data

All materials and examples associated with the Dynamic Data project.

NHANES 2017-2022 data was used to build and compare two linear regression models predicting HDL cholesterol in females ages 30 - 55.

ML on NHANES nutrition data

Jupyter Notebook with R

Some scripts for the analysis of data from the National Health and Nutrition Examination Survey (NHANES).

R PROJECT-CDC NHANES DIABETES MELLITUS DATA ANALYSIS

Adapter library for PIC-SURE HPDS Resources (in R language)

To reproduce the work of Grace et al.

Demo of analyzing NHANES with RNHANES

This repository contains my analysis and documentation for the NHANES 2021-2023 data in performing basic inferential statistics using Python in Google Colab. This includes exploring relationships and differences in health metrics and demographic variables, utilizing the skills learned in class to answer key questions about the dataset.

An R Shiny app analyzing NHANES depression data with interactive visualizations, dimensionality reduction techniques, and predictive modeling.

Code and data for paper on regression with survey data

This is a R online textbook for those who are not familiar with data wrangling. For providing some practical introduction to data wrangling, NHANES datasets will be used as examples in this tutorial. Target audience is those interested in health data analysis, but these data wrangling skills are easily transferable to other fields. General under…