Pearson Correlation in Sleep Studies

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SUMMARY

This discussion centers on the use of Pearson Correlation in sleep studies, specifically regarding the comparison of devices that measure acceleration values. The user questions the appropriateness of Pearson Correlation for analyzing potentially non-linear relationships between the devices' data. Key references include studies from the Journal of Clinical Sleep Medicine and ScienceDirect, which highlight the complexities of interpreting magnitude values derived from device acceleration. The user expresses a need for clarity on the goals of these investigations and the specific aspects being compared across devices.

PREREQUISITES
  • Understanding of Pearson Correlation and its application in statistical analysis
  • Familiarity with sleep study methodologies and device data interpretation
  • Knowledge of linear versus non-linear relationships in data analysis
  • Basic comprehension of acceleration measurement techniques in wearable devices
NEXT STEPS
  • Research the limitations of Pearson Correlation in non-linear data contexts
  • Explore alternative correlation methods such as Spearman's Rank Correlation
  • Study the methodologies used in sleep studies to understand device comparison metrics
  • Investigate the significance of acceleration magnitude values in sleep research
USEFUL FOR

Researchers in sleep studies, data analysts in health technology, and professionals comparing wearable device performance metrics will benefit from this discussion.

trustnoone
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Hi guys, so I've been researching sleep studies and I've been looking at comparison on devices used, and most of them seem to obtain a magnitude value based on the acceleration seen on the device by the user.

What I'm wondering about though is that the comparison between devices seem to be using the Pearson Correlation.
Example:
http://www.journalsleep.org/Articles/290214.pdf

http://www.sciencedirect.com/science/article/pii/S0165027000003642

http://www.itc-ltd.co.jp/pdf/Kushida_et_al.pdf

But from what I read, the Pearson correlation only works with linear correlations, while I would assume the values based here would be quite random values, and while I would imagine there is a correlation say between the devices, I wouldn't imagine it to be linear which I thought was what the Pearson correlation needed?

Am I wrong? I will admit, I don't understand the correlation when I tried to read up on it.
 
People aren't likely to read specialist papers in order to find out what "a magnitude value based on the acceleration seen on the device" means. Magnitude of what? What is the goal of the investigation? What aspect of devices is being compared?
 

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