Related Experiment Video
Updated: Feb 5, 2026

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
On the risk of extracting relevant information from random data
1The Hospital for Sick Children, Toronto, Ontario, Canada. l.garcia.d@gmail.com
Abstract:
This comment constitutes a re-assessment of a recent study in which near-infrared spectroscopy (NIRS) was used to decode decision making. In the original study, the process of feature selection was carried out on all of the data, and those features which displayed the greater classification accuracy were selected, but no independent assessment or validation of the result was performed on a separated set of trials. In order to show the risk of this procedure, the same methodology was applied here to a set of random and independent time series instead of actual NIRS signals. This simulation produced statistically similar results to the original experimental study. It is my opinion that, from the reported classification accuracy of the original paper, no relevant or useful information is really obtained.
Related Concept Videos
Relative Risk
Random Error
Random Variables
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
Randomized Experiments
Simple randomization
Simple...
Random and Systematic Errors
Random Sampling Method

