THE BLAND-ALTMAN METHOD SHOULD NOT BE USED WHEN ONE OF THE TWO MEASUREMENT METHODS HAS NEGLIGIBLE MEASUREMENT ERRORS.

The Bland-Altman method should not be used when one of the two measurement methods has negligible measurement errors.

BackgroundThe Bland-Altman limits of agreement (LoA) method is almost universally used to compare two measurement methods when the outcome is continuous, despite warnings regarding the often-violated strong underlying statistical assumptions.In settings where only a single measurement per individual has been performed and one of the two measurement

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Effects of misinformation on COVID-19 individual responses and recommendations for resilience of disastrous consequences of misinformation

The proliferation of misinformation on social media platforms is faster than the spread of Corona Virus Diseases (COVID-19) and it can generate hefty deleterious consequences on health amid a disaster like COVID-19.Drawing upon research on the stimulus-response theory (hypodermic needle theory) and the resilience theory, this study tested a concept

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Leading Degree: A Metric for Model Performance Evaluation and Hyperparameter Tuning in Deep Learning-Based Side-Channel Analysis

Side-channel analysis benefits a lot from deep learning techniques, which assist attackers in recovering the secret key with fewer attack traces than before, but it remains a problem to precisely measure deep learning model performance, so as to obtain a high-performance model.Commonly used evaluation metrics for deep learning like accuracy and pre

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