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2B-Alert Web 2.0, an Open-Access Tool for Predicting Alertness and Optimizing the Benefits of Caffeine: Utility Study

2B-Alert Web 2.0, an Open-Access Tool for Predicting Alertness and Optimizing the Benefits of Caffeine: Utility Study

For example, in one of the validation analyses, Ramakrishnan et al [7] showed that approximately 87% of the model predictions are within 2 SEs of the measured mean data, meaning that, 87% of the time, the model group-average predictions are statistically indistinguishable from the experimental data.

Jaques Reifman, Kamal Kumar, Luke Hartman, Andrew Frock, Tracy J Doty, Thomas J Balkin, Sridhar Ramakrishnan, Francisco G Vital-Lopez

J Med Internet Res 2022;24(1):e29595