216: Pivot the Randomized Control Trial - One Participant at a Time with Eric J. Daza, DrPH, MPS

Interview with Eric J. Daza, DrPH, MPS

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Highlights from this episode:

How a data scientist and biostatistician merged his experience with public health education
Why language in stats can significantly impact understanding and communication of health information
Learn more about p-value and statistical significance
What is the concept of N of 1 studies and why the use of these personalized health interventions can have tremendous impact in public health
How he realized that grades are not the only measure of success in education (and why you should too)
How contract roles can lead to full time opportunities

Episode 216 of Public Health Careers

Eric is a Founder and Chief Editor at Stats-of-1. As well as Principal Consultant at The Discerning Statistician.

He has been a health data scientist for over 2 decades. He helps you use your own data to learn about yourself – a statistical population of one – and which of your habits are worth changing.

He earned a Bachelor of Arts in Neurobiology & Animal Behavior, with a minor in Cognitive Studies, at Cornell University where he worked as a Research Assistant.

He then conferred a Master of Professional Studies in Applied Statistics at Cornell University and then worked as a SAS Programmer and Biostatistician at Astex Pharmaceuticals.

Eric went on to earn a Doctor of Public Health in Biostatistics at the University of North Carolina at Chapel Hill where he also worked as a Graduate Research Assistant at Rho, Inc. and a Research Assistant & Graduate Research Assistant (Data Programmer & Biostatistician) at UNC Chapel Hill.

He then completed a Postdoctoral Fellowship at the Stanford Prevention Research Center at Stanford University School of Medicine serving as both a Principal Investigator and Study Biostatistician.

Following his postdoc, Eric became a Statistical Consultant at Clarify Health Solutions, eventually shifting to the role of Senior Statistician (Research and Data Science). He later joined Evidation, where he progressed from Contract Lead Biostatistician (Digital Health Outcomes) to a full-time Lead Biostatistician.