Background While the incidence of hospital adverse events appeared to be declining before 2019, the COVID-19 pandemic may ...

Abstract: This paper introduces a new statistical hypothesis test for robust image classification. First, we introduce the proposed statistical hypothesis test based on the geodesic distance and on ...

When it first became clear that clicks and user behavior influence rankings, many in the SEO industry dismissed it – until it became widely accepted. Today, the SEO vs. GEO debate is sparking similar ...

ABSTRACT: We present here an alternative definition of the P-value for statistical hypothesis test of a real-valued parameter for a continuous random variable X. Our ...

In online A/B testing, we often face a significant practical challenge: the randomization unit differs from the analysis unit. Typically, control and treatment groups are randomly assigned at the user ...

Department of Pathology, University of British Columbia, Vancouver, British Columbia V6T 1Z7, Canada Michael Cuccione Childhood Cancer Research Program, BC Children’s Hospital Research Institute, ...

One of the most important statistical analyses when designing animal and human studies is the calculation of the required sample size. In this review, we define central terms in the context of sample ...

Statistical significance is a critical concept in data analysis and research. In essence, it’s a measure that allows researchers to assess whether the results of an experiment or study are due to ...