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Industry Spotlight: Hospitals

Hospitals are a major employer of statisticians and analytics professionals, both in support of clinical research like the retinopathy study described earlier, and to improve hospital operations (outcomes, cost management, etc.). Here are a few quick facts about the hospital industry: US hospital revenue totals over $1 trillion – about 5% of GDP. This isContinue reading “Industry Spotlight: Hospitals”

Healthcare Analytics: Exploration versus Confirmation

Perhaps the most active application of analytics and data mining is healthcare. This week we look at one success story, the use of machine learning to predict diabetic retinopathy, one story of disappointment, the use of genetic testing in a puzzling disease, and a basic dichotomy in statistical analysis. In his famous 1977 book thatContinue reading “Healthcare Analytics: Exploration versus Confirmation”

Problem of the Week: Simpson’s Paradox – baseball

Question: A baseball team is comparing two of its hitters, Hernandez and Dimock. Hernandez hit .250 in 2017 and .275 in 2018. Dimock did worse in both years – .245 in 2017 and .270 in 2018. Overall, though, Dimock hit better across the two years, .263 versus .258 for Hernandez. How can this be? Answer:Continue reading “Problem of the Week: Simpson’s Paradox – baseball”