Subject
3 entries
P Values
Bookmarks
Drawing Inferences From Very Large Datasets
Econometrician Dave Giles on why large datasets make standard p-value thresholds useless — with N in the millions, almost any null hypothesis rejects, regardless of practical importance. A necessary corrective for data scientists drowning in statistical significance.
An Introduction to Data Analysis — Statistics Done Wrong
Alex Reinhart's 'Statistics Done Wrong' introduction to data analysis — opens with the key insight that a p-value measures surprise, not correctness. A corrective for scientists trained in classical statistics who misinterpret their own results.
Everything Wrong With P-Values Under One Roof
A comprehensive critique of p-values and null hypothesis significance testing — cataloguing the ways researchers misinterpret and misuse them. Part of a growing 2013 literature on the replication crisis and statistical reform.