ROC Curve

The Receiver Operating Characteristics (ROC) curve is a measure of how well a statistical or machine learning model (or a medical diagnostic procedure) can distinguish between two classes, say 1’s and 0’s.  For example, fraudulent insurance claims (1’s) and non-fraudulent ones (0’s). It plots two quantities:

 

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Deming’s Funnel Problem

W. Edwards Deming's funnel problem is one of statistics' greatest hits. Deming was a noted statistician who took the statistical process control methods of Shewhart and expanded them into a holistic approach to manufacturing quality. Initially, his ideas were cooly received in the US and…

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Industry Spotlight: the Auto Industry

The auto industry serves as a perfect exemplar of three key eras of statistics and data science in service of industry: Total Quality Management (TQM) First in Japan, and later in the U.S., the auto industry became an enthusiastic adherent to the Total Quality Management…

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Analytics Professionals – Must They Be Good Communicators?

Most job ads in the technical arena list communication among the sought-after skills; it consistently outranks many programming and analytical skills. Is it for real, or is it just thrown in there by the HR Department on general principle? The founder of a leading analytics…

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Prospective vs. Retrospective

A prospective study is one that identifies a scientific (usually medical) problem to be studied, specifies a study design protocol (e.g. what you're measuring, who you're measuring, how many subjects, etc.), and then gathers data in the future in accordance with the design. The definition…

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The Evolution of Clinical Trials

Boiling oil versus egg yolks One early clinical trial was accidental. In the 16th century, a common treatment for wounded soldiers was to pour boiling oil on their wounds. In 1537, the surgeon Ambroise Pare, attending French soldiers, ran out of oil one evening. He…

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