Category: NEWS & EVENTS


“Retire Statistical Significance”: A Call to Join the Discussion

[From the blog “‘Retire Statistical Significance’: The discussion” by Andrew Gelman, posted at Statistical Modeling, Causal Inference, and Social Science] “So, the paper by Valentin Amrhein, Sander Greenland, and Blake McShane that we discussed a few weeks ago has just appeared online as…

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To p-Value or Not to p-Value? An Answer From Signal Detection Theory

[From the article “Insights into Criteria for Statistical Significance from Signal Detection Analysis” by Jessica Witt, published in Meta-Psychology] “… the best criteria for statistical significance are ones that maximize discriminability between real and null effects, not just those that…

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Open Policy Analysis Applied to the Warren Wealth Tax Plan: A Very Cool Initiative!

[From the blog, “Opening up the analysis behind Elizabeth Warren’s wealth tax plan” posted at BITSS] “Senator Elizabeth Warren declared her 2020 presidential bid on a platform based on policies to rebuild the American middle-class. A key part of her…

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Surprise? Data Sharing in Social Sciences Lags Other Disciplines

[From the article, “Effect of Impact Factor and Discipline on Journal Data Sharing Policies” by David Resnik et al., published in Accountability in Research] “…we coded … 447 journals … The breakdown was: 18.1% biological sciences, 18.8% clinical sciences, 21.7%…

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Want to Retire Significance Testing? Sign the Petition. Deadline is Tomorrow!

[From the blog ““Abandon / Retire Statistical Significance”: Your chance to sign a petition!” by Andrew Gelman, posted at StatsBlogs] “Valentin Amrhein, Sander Greenland, and Blake McShane write:” “We have a forthcoming comment in Nature arguing that it is time…

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Replications Can Lessen the Pressure To Get It Right the First Time — And That Can Be a Good Thing

[From the blog “(back to basics:) How is statistics relevant to scientific discovery?” by Andrew Gelman, posted at Statistical Modeling, Causal Inference, and Social Science] “If we are discouraged from criticizing published work—or if our criticism elicits pushback and attacks…

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Surveying Reproducibility

[From the article “Assessing data availability and research reproducibility in hydrology and water resources” by Stagge, Rosenberg, Abdallah, Akbar, Attallah & James, published in Nature’s Scientific Data] “…reproducibility requires multiple, progressive components such as (i) all data, models, code, directions,…

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Scientific Errors? There’s an App for That!

[From the article “Will scientific error checkers become as ubiquitous as spell-checkers?” posted at Retraction Watch] “Jonathan Wren and Constantin Georgescu of the Oklahoma Medical Research Foundation used an algorithmic approach to mine abstracts on MEDLINE for statistical ratios (e.g., hazard…

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Power and Progress in Science

[From the blog “The Persistence of False Paradigms in Low-Power Sciences” by Pascal Michaillat, posted on the BITSS website] “It is commonly believed that the lack of experimental evidence typical in the social sciences slows but does not prevent the…

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When Trying to Explain p-Values, Maybe Try This?

[From the blog “P-values 101: An attempt at an intuitive but mathematically correct explanation” by Xenia Schmalz, posted at Xenia Schmalz’s blog] “…what exactly are p-values, what is p-hacking, and what does all of that have to do with the replication crisis?…

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