03/02/2021By Mladen Jovanovic on 03/02/2021
The aim of this book is to provide an overview of the three classes of tasks in statistical modeling: description, prediction, and causal inference.
13/01/2020By Mladen Jovanovic on 13/01/2020
In this video, I will go more into these details and also provide an extension of this model, which I termed Circular Performance Model (CPM). CPM, in my opinion, better represent performance phenomenology we experience as coaches and athletes.
24/01/2019By Mladen Jovanovic on 24/01/2019
With this short article I wanted to showcase how easy is to jump to conclusions with simplistic statistical analysis using fake salary data. It is important to recognize that statistical analysis involve a lot of subjective decisions and cannot be claimed to be purely objective, but it is still way better than ignorance or ideology.
17/12/2018By Mladen Jovanovic on 17/12/2018
Research has shown that there is an association between training load and likelihood of suffering non-contact injuries. But can we predict the injury? In this paper I have tried to predict non-contact hamstring injury by using two seasons day-to-day training load data.
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...