Why my father had to defend decades' worth of data in court

Michael Jacobsen

Back in the 1990s, British miners were fighting for compensation for diseases linked to coal dust exposure. Epidemiology and statistics were essential to the miners’ case, so mine operators sought to cast doubt on the data – and it fell to my father, Michael Jacobsen (pictured), to argue that the research was sound.

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R book review: Two approaches to learning data science

R book covers

In 2012, the Harvard Business Review declared data scientist “the sexiest job of the 21st century”. Six years on it is still “America’s Hottest Job”, according to Bloomberg. As a statistician or data analyst you might be willing to give it a try. Of course, you need to know R. And both Modern Data Science with R (MDSR) and R for Data Science (R4DS) may help you find your way.

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The pick of R packages

graph beatles lyrics

Our August 2018 cover story celebrates the 25th anniversary of the creation of R, the statistical programming language that became a subcultural phenomenon. While researching R’s history, community and culture, our reporter Nick Thieme interviewed a number of active R users and developers – and he invited them to tell our readers about some of the things they love most about R: specifically, the packages.

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Cargo-cult statistics and scientific crisis

smashed beaker

Poor practice is catching up with science,1-3 manifesting in part in the failure of results to be reproducible and replicable.4-7 Various causes have been posited,1, 8 but we believe that poor statistical education and practice are symptoms of and contributors to problems in science as a whole.

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