Researchers often can't increase the size of their sample (e.g., due to research constraints). In my paper on sample size justification I discuss approaches to increase power without increasing the sample size (e.g., within designs, reducing variability) lakens.github.io/statistical_...

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"In 1994, Doug Altman famously remarked that ‘We need less research, better research, & research done for the right reasons’. His words have never been more relevant." Read a free copy of our @intjepidemiol.bsky.social letter on 'why epidemiology should not be automated': zenodo.org/records/2308...

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'Statisticians learn hierarchical models as tools; nobody in a statistics seminar says, “This is a response to a 150-year-old problem in the foundations of probability.” And nobody in a philosophy seminar says, “The answer is lme4."' sudippaul.substack.com/p/partial-po...

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I shall be attending the International Society for Clinical Biostatics in Freiburg next week (I think it will be my 40th) together with the German Association for Medical Informatics, Biometry and Epidemiology (GMDS) but am travelling via my hometown #Basle #Basel #Bâle #Basilea #ISCB47 #GMDS71

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8/ As the @nytimes.com reported, DraftKings uses machine learning and data scientists to entice losing customers with promos to keep them going — even if those are the customers at risk of becoming addicts. The company says it doesn’t unfairly target people.

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