Predicting Mood Disturbance Severity with Mobile Phone Keystroke Metadata: A BiAffect Digital Phenotyping Study.

J Med Internet Res · 2018 · PMC6076371 · PMID 30030209

Europe PMC DOI

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0.1500

closest p · 3.0× alpha

0.1500

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did not reach statistical significanceP= .15not close (p > 0.1)

It is also worth noting that while the session count was positively correlated, the average session length was negatively correlated (although this predictor did not reach statistical significance, P= .15), suggesting that patterns of activity may be more relevant than the overall volume of activity.

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