Once a month we discuss a particular research method that may be of interest to people working in health economics. We’ll consider widely used key methodologies, as well as more novel approaches. Our reviews are not designed to be comprehensive… Read More »Method of the month: Permutation tests
Every Monday our authors provide a round-up of some of the most recently published peer reviewed articles from the field. We don’t cover everything, or even what’s most important – just a few papers that have interested the author. Visit… Read More »Sam Watson’s journal round-up for 29th October 2018
Despite widespread cautionary messages, p-values and claims of statistical significance are continuously misused. One of the most common errors is to mistake statistical significance for economic, clinical, or political significance. This error may manifest itself by authors interpreting only ‘statistically significant’… Read More »Widespread misuse of statistical significance in health economics
A good illustration of the muddles that p-values can get us in appeared recently on HealthNewsReview.com. HealthNewsReview examines and debunks the often hyped-up claims about medicines that appear in the media. But last week they “called BS” on a claim… Read More »What’s the significance of this?
David Colquhoun, professor of pharmacology at UCL, has a new essay over at Aeon opining about the problems with p-values. A short while back, we also discussed p-value problems, and Colquhoun arrives at the same conclusions as us about the… Read More »Placebos for all, or why the p-value should have no place in healthcare decision making
P-values do not indicate whether a scientific finding is true. Statistical significance does not equal economic or clinical significance. And p-values are often presented for tests that have no bearing on the questions being posed. So what’s the point? Empirical… Read More »Should we just abandon p-values altogether?