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Regression to the mean is a powerful and common source of bias in interpreting data. Once understood, its potential to mislead is obvious. Yet many scientists are regularly fooled by it. In this blog I shall try explain it.
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In his 1597 play ‘Romeo and Juliet’, William Shakespeare narrates the tragic story of Romeo Montague and Juliet Capulet. The two young persons are in love, but their families are engaged in a blood feud. The consequences were tragic. The imposition of statistics in medicine evokes similarly strong emotions. The animosity may not be as […]
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By Graham Robertson Senior Marketing Executive, Cambridge University Press How much do you know about the influence of mathematics and statistics? April is Mathematics and Statistics Awareness Month, so we thought we would share a quick snapshot… You probably know that secure online shopping and private messaging on your mobile or cell phone would not […]
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In modern times we experience regular public exchanges of opinion, whether about COVID-19 policies, humanity’s influence on climate, or whether or not the local jail needs replacing. When arguing in the public sphere, opposing sides each frame their take on a subject and present supporting arguments and facts. Unfortunately, this is often where the discussion […]
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As cities, counties and states begin to relax social distancing guidelines, it is important for local and state public health organizations to conduct rigorous disease surveillance looking for indications of COVID-19 resurgence. Recognizing that there will continue to be some level of disease incidence in the population, the question is whether relaxing social distancing guidelines […]
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My research career has taken a somewhat non-linear path, starting in theoretical cosmology and ending up in marine sciences. Each transition has required me to learn new things, and so many years ago I was involved in an Antarctic Field Training Course run by the US National Science Foundation. The course was highly interdisciplinary, and […]
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Phylogenetic trees and multiple sequence alignments are used in many biological analyses, including protein structure and function prediction, microbiome analysis, and the inference of human migrations. Yet, constructing these trees and alignments turns out to be much more difficult than expected on large datasets. Tandy Warnow explores these difficulties and how algorithm designers can best develop new methods to address these issues.
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What do you do when faced with analyzing student ratings from 1 to 5 for 3 instructors in 3 classes? Aside from questioning the validity of students assessing instructor capability other than for the income generated by high enrollments, and that this is but a toy example, many naive analysts turn to the well-known analysis […]
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