bmbstats: Bootstrap Magnitude-Based Statistics for Sports Scientists
Related Articles
Investing In Yourself Is One Of The Major Keys To Success
Investing time in yourself is the only safe investment that will give you maximum return throughout life. In this article, we will break this down.
Validity and Repeatability of the YoYoIR1 and 1000TT: Re-analysis of the Clancy et al. paper
In the following two videos and a PDF report, I am going to re-analyze the paper by Clancy et al. using bootstrap magnitude-based approach (using bmbstats package) and mixed-effects model in R language.
Smallest Worthwhile Change: Individual vs Group
Smallest Worthwhile Change: Individual vs Group If you haven’t been living under a rock over past few years, you must be familiar with Will Hopkins work on magnitude-based inferences (MBI). One of the basis behind MBI is defining smallest practically meaningful change, or smallest worthwhile change (SWC). Together with Typical Error (TE) of a test, SWC is very needed…
Effect of Typical Variation of a Test on Confidence Interval
Confidence intervals gives us the range of a given statistic when generalizing from a sample to a population. The simplest example could be mean of a sample (e.g. average height) – what we are interested in are the generalizations (or inferences) from this sample to a population (e.g. average height in population). Due the sampling error we are not…
Responses