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The third error is assessing the diagnostic value of a biomarker in a subpopulation of patients defined by liver biopsy such as F2/F3 vs. F0/F1.
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14 The assessment of risk of random error was assessed for the reporting of sample size calculations, α and β error, and effect size.
The intra-operator and inter-operator error was assessed using the intra-class correlation coefficient.
Several sources of error are assessed, and corrections are proposed for large systematic errors that occur for root angles.
Error was assessed using the root-mean-square error (RMSE) of the GCPs as well as error in 31 independent test points.
The physical uncertainties of actions, the inherent variability of soil and model error were assessed by experimental in situ standard penetration tests (SPT) or from information available in the literature.
The frequency of reported "missed diagnoses" depends on how the frequency of error was assessed: based on trauma registries, error rates were approximately 2%[28]], while retrospective chart review found approximately 40%[29]], and retrospective review of all admissions revealed missed or delayed diagnoses of approximately 8%-10% [28 30].
Significant differences among the conditions (e.g., correct vs. error) were assessed with contrast (t) maps.
The accuracy of the Argos location class (LC) error was assessed by comparing the difference between 49 Argos reported locations from 6 PTTs over 4 duty cycles with their actual (known) location (atop the 4 m wooden mast described in Study 2), determined using an eMap GPS [26].
Refractive error was assessed using standard distant static retinoscopy.
Inter-observer error was assessed between grade assigned according to MCs or Ki-67 index.
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