Abstract

We investigate factors related to blood lead levels of children ages 1 to 5 in the United States for the years 2007-2014. We use data from the National Health and Nutrition Examination Survey (NHANES). The goal is to explore predictors of lead in childrens' blood and to develop a multivariate model using as many predictors as possible. The analysis is conducted using SAS survey regression procedures that account for weighting, stratification, and clustering of the data.

Committee Chair

Edward Spitznagel

Committee Members

Jimin Ding, Nan Lin

Comments

Permanent URL: https://doi.org/10.7936/K7WW7FZV

Degree

Master of Arts (AM/MA)

Author's Department

Statistics

Author's School

Graduate School of Arts and Sciences

Document Type

Thesis

Date of Award

Spring 5-2016

Language

English (en)

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