Daniel Hammarström
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I’m an Associate Professor at the Inland University of Applied Sciences , where my research interests revolves around uncovering factors that contribute to the diverse responses individuals exhibit to exercise training. My investigative approach is interdisciplinary, weaving together physiology, statistical methods and bioinformatics in studies of exercise training.
In the realm of academics, I am involved in teaching research methods with focus on statistics and molecular biology as part of our Health and Exercise Physiology Master’s program. Additionally, I mentor students at various levels, overseeing the academic and research progression of Bachelor’s, Master’s, and Ph.D. candidates.
I’m part of the trainome research group , collectively we want to better understand why and how people responds to exercise training and find out how we can design better exercise training interventions for different populations.
You can read my blog below or find me on Twitter , Mastodon or GitHub .
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Descriptive statistics provide a summary of the main characteristics of a dataset like the mean, median, mode through measures of central tendency. They also help determine …
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Statistics, like all other branches of mathematics, uses mathematical models to describe phenomena that occur in the real world. Some mathematical models are deterministic. These …