Seminar Slides | Multiple Comparisons and the False Discovery Rate | Dr. Saunak Sen
|Please click below for the slides from Dr. Saunak Sen’s presentation May 21st, 2019. Multiple Comparisons and the Falsefdr Discovery Rate
Category: p-values
Seminar Slides: P-Value Discussion | Dr. Saunak Sen
|Please see below for the sides from Dr. Sen’s seminar discussion. p-value-discussion
P-values – What they are and what they are not – Seminar Presentation Slides – Fridtjof Thomas
|P-values: What they are and what they are not, will look in detail at good examples of using p-values and how to interpret them. After reviewing widely understood problems with p-values, attention is drawn to regularly encountered use of p-values where it is less clear what their correct interpretation actually is. Furthermore, we demonstrate why… Read More
American Statistical Association’s statement on p-values [outside article]
|The American Statistical Association (ASA) has released a “Statement on Statistical Significance and P-Values” with six principles underlying the proper use and interpretation of the p-value. The ASA releases this guidance on p-values to improve the conduct and interpretation of quantitative science and inform the growing emphasis on reproducibility of science research. The statement also… Read More
Why Frank Harrell does not like p-values by Frank Harrel [outside article]
|With the many problems that p-values have, and the temptation to “bless” research when the p-value falls below an arbitrary threshold such as 0.05 or 0.005, researchers using p-values should at least be fully aware of what they are getting. They need to know exactly what a p-value means and what are the assumptions required… Read More
Note on small p-value hacking by Thomas Lumley [outside article]
|The proposal to change p-value thresholds from 0.05 to 0.005 won’t die. I think it’s targeting the wrong question: many studies are too weak in various ways to provide the sort of reliable evidence they want to claim, and the choices available in analysis and publication process eat up too much of that limited information. … Read More
Comment on proposal to lower the p-value threshold to 0.005 by John Ionnidis [outside article]
|P values and accompanying methods of statistical significance testing are creating challenges in biomedical science and other disciplines. The vast majority (96%) of articles that report P values in the abstract, full text, or both include some values of .05 or less.1 However, many of the claims that these reports highlight are likely false.2 Recognizing the major importance of the… Read More