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Aaron Caldwell

ORISE Postdoctoral Fellow

USARIEM

Biography

Aaron is an exercise physiologist by training with a Ph.D. in Health, Sport, and Exercise Science from the University of Arkansas. His current job is focused on human performance in extreme environments (heat, cold, and altitude). In addition, he has expanded his skillset to include applied statistics by completing a graudate certificate in statistics in research methods at the University of Arkansas and is currently continuing his education with a M.Sc. in Analytics at the Georgia Institute of Technology.

Aaron’s statistics and coding work can be found on GitHub

Learn about his academic work on ResearchGate.

Interests

  • Environmental & Exercise Physiology
  • Applied Statistics

Education

  • Ph.D. in Health, Sport, and Exercise Science, 2019

    University of Arkansas

  • M.Sc. in Kinesiology, 2015

    Texas Christian University

  • B.Sc. in Exercise Science, 2009

    Baker University

Skills

R

Experienced R user

Python

Beginner Python user

Statistics

Graduate Certificate in Statistics; working on M.Sc.

Physiology

Extensive background in applied physiology research

Experience

 
 
 
 
 

Postdoctoral Research Fellow

USARIEM/ORISE

Aug 2019 – Present Boston, MA
Responsibilities include:

  • Data cleaning and analyses for ongoing studies
  • Writing research protocols and organziing team of research assistants
  • Acting as principal investigator on research projects related to heat and hydration
 
 
 
 
 

Graduate Assistant

University of Arkansas

Aug 2015 – May 2019 Arkansas
Taught courses on labratory techniques in exercise physiology.

Recent Posts

Magnitude Based Inference in R and SAS

Updated on: 2020-05-05 Introduction There have been a number of criticisms of “magnitude-based inferences” (Batterham and Hopkins 2006) …

Welcome to my blog

This is my personal blog area on my website. This is a place for me to express my personal thoughts in a relaxed nature. Most of my …

Projects

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Exact Simulation Power Shiny App

R package for developed for power analysis with Daniel Lakens

Monte Carlo Power Shiny App

Shiny app that performs Monte Carlo simulations to estimate power for ANOVAs

Superpower R package

R package for developed for power analysis with Daniel Lakens

Recent & Upcoming Talks

Basics of Statistics

Measuring Sweat Gland Activation

Recent Publications

On the Statistical Properties of the Dankel-Loenneke Method

Dankel & Loenneke (2019) recently presented a new approach to identifying subgroups in parallel group study designs. Here, we …

Basic statistical considerations for physiology: The journal Temperature toolbox

The average environmental and occupational physiologist may find statistics are difficult to interpret and use since their formal …

Simulation-Based Power-Analysis for Factorial ANOVA Designs

Researchers often rely on analysis of variance (ANOVA) when they report results of experiments. To ensure a study is adequately powered …

Moving Sport and Exercise Science Forward: A Call for the Adoption of More Transparent Research Practices

The primary means for disseminating sport and exercise science research is currently through journal articles. However, not all …

Adequacy of Daily Fluid Intake Volume Can Be Identified From Urinary Frequency and Perceived Thirst in Healthy Adults

Objective: Achieving and maintaining an optimal level of hydration has significant implications for both acute and chronic health, yet …

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