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I think that the outright banning of p-values is not the right way to go. The researchers that misuse them and the reviewers that apparently don't understand th
by _-__--- 11y ago
I think that the outright banning of p-values is not the right way to go. The researchers that misuse them and the reviewers that apparently don't understand them are a much bigger problem than the p-value metric itself.
What's needed is a better understanding of empirical conditional statistics and the application of that understanding to the degign of experiments and the analysis of the results produced therefrom.
- solve 11y agoAnd the best way to do that is to eliminate the crutch. Many of the more data-centric fields did away with p-values long ago in favor of far more robust approaches to establishing the value of a paper. Look at papers in the data science field. Using p-values in a paper there would get you laughed out of the industry fast. Only problem that p-values ever solved was allowing journal reviewers to be lazier, helping scientists to be lazier, and making writing more sensational press releases easier.
- abandonliberty 11y agoCould you point me to a starting point for understanding the new more robust approaches?
- ds222 11y agoAre there journals for data science? I am not aware of any...