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Read more about Big Data for Epidemiology: Applied Data Analysis Using National Health Surveys

Big Data for Epidemiology: Applied Data Analysis Using National Health Surveys

(2 reviews)

Tiffany B Kindratt, Arlington, Texas

Copyright Year: 2022

ISBN 13: 9781648160035

Publisher: Mavs Open Press

Language: English

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Reviewed by Nancyruth Leibold, Chair and Professor, Southwest Minnesota State University on 2/15/23

The textbook is comprehensive within reason. No book can be one resource that includes all. The textbook states the purpose is to help Master of Public Health (MPH) students use basic applied data analysis from national health surveys. The book is... read more

Reviewed by Evidence Matangi, Assistant Professor, Taylor University on 11/11/22

This is a very good high-level textbook; I am not sure what knowledge of Statistics is a prerequisite for the target public health students. I feel that there is a need for detail on say the characterization of Big Data, and difference with and to... read more

Table of Contents

  • About the Publisher
  • Accessibility Statement
  • About This Project
  • Acknowledgments
  • 1. Introduction
  • 2. Overview of National Health Surveys
  • 3. Literature Review
  • 4. Basic Data Analysis
  • 5. Complex Survey Design Features
  • 6. National Health Interview Survey
  • 7. Medical Expenditure Panel Survey
  • 8. Health Information National Trends Survey
  • 9. Behavioral Risk Factor Surveillance System
  • 10. National Health and Nutrition Examination Survey
  • 11. Dissemination
  • 12. Conclusions
  • Links by Chapter
  • Image Credits
  • Errata and Versioning History
  • Accessibility Rubric

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About the Book

National data sets provide an avenue for students to practice data analytic skills while also answering meaningful research questions. This open education resource was developed to train future public health professionals how to conduct secondary data analysis of national health surveys using SAS statistical software. SAS software was selected because it is one of the most commonly used software programs used among public health departments and academia. The book includes details on how to analyze public-use data from five common national health surveys, including the National Health Interview Survey (NHIS), Medical Expenditure Panel Survey (MEPS), Health Information National Trends Survey (HINTS), Behavior Risk Factor Surveillance System (BRFSS) and National Health and Nutrition and Examination Survey (NHANES). All datasets and corresponding syntax files are available from the Open ICPSR Data Repository.

About the Contributors


Tiffany B. Kindratt, PhD, MPH, is an assistant professor in the Public Health Program, Department of Kinesiology, College of Nursing and Health Innovation at the University of Texas at Arlington. She is Director of the Health Survey Research Laboratory and conducts research focused on predisposing (e.g. race/ethnicity, specifically Arab/Middle Eastern and North African) and enabling (e.g. patient-provider communication, patient experiences) factors that influence individuals’ health behaviors, morbidity, mortality and use of health services across the life course using big data methodologies. She has an extensive background in epidemiologic and large database analysis, Arab/Middle Eastern and North African American health disparities, and training of medical learners. She has 13 years of experience analyzing large databases and complex surveys, including those included in this book. She currently has federal research funding from the National Institutes of Health (National Institute on Aging) and Health Resources and Services Administration and has over 50 manuscripts published in peer reviewed scientific journals.

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