04/12/2018By Mladen Jovanovic on 04/12/2018
The following R workbook is meant to show different effects (or should I call them inequalities or differences) between groups when different thresholds for selection are applied. Hopefully, this will be a good example on how it is important to be statistically educated when comparing groups and discussing inequality.
10/11/2018By Mladen Jovanovic on 10/11/2018
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...
13/09/2018By Mladen Jovanovic on 13/09/2018
A sensitivity analysis is a technique used to determine how different values of an independent variable impact a particular dependent variable under a given set of assumptions. This technique is used within specific boundaries that depend on one or more input variables, such as the effect that changes in interest rates have on bond prices.
20/05/2018By Mladen Jovanovic on 20/05/2018
There has been a lot of fuss regarding Magnitude Based Inference (MBI) lately, peaking with the recent article and video by Kristin Sainani. The originators of MBI, Will Hopkins and Alan Batterham, recently posted their commentary of the critiques at sportsci.org. With the video below I wanted to give my opinion, but also provide rationale for “novel” techniques, that...
22/02/2018By Mladen Jovanovic on 22/02/2018
Most of us are collecting and analyzing training load data and readiness metrics (i.e. GPS training load, sRPE and wellness). The most common analysis method is to use two rolling averages windows – acute (around 7 days) and chronic (around 28 days) and to calculate their ratio, referred to as ACWR (Acute to Chronic Workload Ratio), or TSB (Training...