Acknowledgments

UTA CARES Grant Program

Creation of this OER was funded by the UTA CARES Grant Program, which is sponsored by UTA Libraries. Under the auspices of UTA’s Coalition for Alternative Resources in Education for Students (CARES), the grant program supports educators interested in practicing open education through the adoption of OER and, when no suitable open resource is available, through the creation of new OER or the adoption of library-licensed or other free content.  Additionally, the program promotes innovation in teaching and learning through the exploration of open educational practices, such as collaborating with students to produce educational content of value to a wider community. Information about the grant program and funded projects is available online.

Author’s Note

The case studies developed in Chapter 6, National Health Interview Survey, and Chapter 9, Behavioral Risk Factor Surveillance System were supported by the National Institute On Aging of the National Institutes of Health under Award Numbers P30 AG059300 and R03AG070177. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.”

I would like to acknowledge, Dr. Erin Carlson, who is the Director of Graduate Public Health Programs at the University of Texas at Arlington. Dr. Carlson was integral in making my dream of creating this textbook in alignment with a Master of Public Health Big Data for Epidemiology course (KINE 5386) a reality. I would also like to acknowledge Dr. David Keller, Professor, Associate Dean, and Chair of Department of Kinesiology for his support of my research and teaching endeavors. I would like to acknowledge Dr. Bijal Balasubramanian, who served as my PhD advisor and mentor, who allowed me to create  an independent study focused on analyzing national data at UTHealth, School of Public Health Regional Campus. Finally, I would like to acknowledge Dr. Florence J. Dallo, who served as my Master of Public Health advisor and mentor, who piqued my interest in analyzing national health data.

On a personal note, I would like to acknowledge my husband, Tony, for his love and support during the writing and publishing of this textbook. I would like to acknowledge my two sons, Cameron and Maxwell, one of whom was born during the writing of this textbook. Finally, I would like to acknowledge my parents, Diane and Gary Billmeier. This publication would not be possible without the love and support of them all.

Lead Author

Tiffany B. Kindratt, PhD, MPH – Assistant Professor, Public Health, Department of Kinesiology, College of Nursing and Health Innovation, University of Texas at Arlington.

 

License

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Big Data for Epidemiology: Applied Data Analysis Using National Health Surveys Copyright © 2022 by Tiffany B. Kindratt is licensed under a Creative Commons Attribution 4.0 International License, except where otherwise noted.

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