12 papers · ranked by Valyu relevance
Elizabeth Borycki, Sergio Gago, Ahmed Hassan, Shahzad Ashraf + 3 more
'Oyinda Obigbesan' 'Kristen Graham' 'Karen M Benzies'] eHealth interventions are becoming a part of standard care, with software solutions increasingly created for patients and health care providers. Testing of eHealth software is important to ensure that the software realizes its goals. Software testing, which is…
Janet Aisbett, Stephan Leitner
Simultaneous testing of one hypothesis at multiple alpha levels can be performed within a conventional Neyman-Pearson framework. This is achieved by treating the hypothesis as a family of hypotheses, each member of which explicitly concerns test level as well as effect size. Such testing encourages researchers to think…
Zubair Khaliq, Sheikh Umar Farooq, Dawood Ashraf Khan
Artificial Intelligence (AI) is making a significant impact in multiple areas like medical, military, industrial, domestic, law, arts as AI is capable to perform several roles such as managing smart factories, driving autonomous vehicles, creating accurate weather forecasts, detecting cancer and personal assistants…
Janet Aisbett
levels rather than searching for an elusive optimal alpha? Authors: ['Janet Aisbett'] Simultaneous testing of one hypothesis at multiple alpha levels can be performed within a conventional Neyman-Pearson framework. This is achieved by treating the hypothesis as a family of hypotheses, each member of which explicitly…
Cédric Cannard, Helané Wahbeh, Arnaud Delorme
EEG power spectral density (PSD), the individual alpha frequency (IAF) and the frontal alpha asymmetry (FAA) are all EEG spectral measures that have been widely used to evaluate cognitive and attentional processes in experimental and clinical settings, and that can be used for real-world applications (e.g., remote EEG…
Giacomo Marzi, Marco Balzano, Davide Marchiori
Krippendorff's Alpha is a measure for assessing inter-rater reliability, facilitating triangulated evaluations among multiple raters. Indeed, Krippendorff's Alpha is key in validating the dependability of human assessments, thereby reinforcing the robustness of human-based choices in contexts where interpretive…
Mark Rubin
During multiple testing, researchers often adjust their alpha level to control the familywise error rate for a statistical inference about a joint union alternative hypothesis (e.g., "H1,1 or H1,2"). However, in some cases, they do not make this inference. Instead, they make separate inferences about each of the…
Lisa M. Shook, Deidra Haygood, Charles T. Quinn, James B. Gibson
Hemoglobinopathies are commonly detected by newborn screening (NBS). One of the most difficult to accurately diagnose is alpha-thalassemia, which is indicated by the presence of hemoglobin (Hb) Barts on NBS. This mixed methods study incorporated (1) an implementation and quality improvement project to demonstrate the…
Federico Quin, Danny Weyns, Matthias Galster, Camila Mariane Costa Silva
'Camila Mariane Costa Silva'] A/B testing, also referred to as online controlled experimentation or continuous experimentation, is a form of hypothesis testing where two variants of a piece of software are compared in the field from an end user's point of view. A/B testing is widely used in practice to enable…
Shreshth Tuli, Kinga Bojarczuk, Natalija Gucevska, Mark Harman + 2 more
'Xiaoyu Wang' 'Graham A. Wright'] Abstract—This is the first work to report on inferential testing at scale in industry. Specifically, it reports the experience of automated testing of integrity systems at Meta. We built an internal tool called ALPACAS for automated inference of end-toend integrity tests. Integrity…
Authors not listed
Alpha toxin, also known as α-toxin or Hla, is a potent protein toxin produced by Staphylococcus aureus. The mechanism of membrane inhibition of alpha toxin begins with the binding of the toxin monomers to specific receptors on the surface of susceptible host cells until the complex inserts into the lipid bilayer to…
Polina Politanskaia, Jacinta Bywater, Anna J. Finley, Hannah A.D Keage + 4 more
Several aspects of parameterized neural activity, including the aperiodic exponent and individual peak alpha frequency, have emerged as promising biomarkers for ageing, pathology, and cognitive decline. Their potential clinical application is tempered by a lack of evidence on long-term temporal stability. Existing…