In a recent blogpost at Simply Statistics, Jeff Leek announced a new R package called tidypvals: “The tidypvals package is an effort to find previous collections of published p-values, synthesize them, and tidy them into one analyzable data set.” In a preview…

Read More[From the article, “The ASA’s p-value statement, one year on”, which appeared in the online journal Significance, a publication of the American Statistical Association] “A little over a year ago now, in March 2016, the American Statistical Association (ASA) took…

Read MoreIn a recent article in PLOS One, Don van Ravenzwaaij and John Ioannidis argue that Bayes factors should be preferred to significance testing (p-values) when assessing the effectiveness of new drugs. At his blogsite The 20% Statistician, Daniel Lakens argues…

Read More(FROM THE ARTICLE “Are Results in Top Journals To Be Trusted?”) A paper recently published in the American Economic Journal, entitled “Star Wars: The Empirics Strike Back”, “analyses 50,000 tests published between 2005 and 2011 in three top American journals. It finds that the…

Read MoreFROM THE BLOG POLITICAL SCIENCE REPLICATION: “A new article by researchers at the University of Amsterdam shows that publication bias towards statistically significant results may cause p-value misreporting. The team examined hundreds of published articles and found that authors had…

Read MoreFROM THE ARTICLE: The following is from an interview with Steven Goodman, co-director of METRICS. “Even after spending his ‘entire career’ thinking about p-values, he said he could tell me the definition, ‘but I cannot tell you what it means,…

Read MoreFROM THE ARTICLE: “Currently used thresholds in classical test of statistical significance are responsible for much of the non-reproducibility of scientific studies……Bayesian testing methods that calculate the posterior probability in favor of the null hypothesis alleviate the unreliability of p-values,…

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