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Err, this 100% applies to biology research, where there is absolutely a problem of small sample sizes, small effects, etc. Our studies (my field is cancer) are
by astazangasta 8y ago
Err, this 100% applies to biology research, where there is absolutely a problem of small sample sizes, small effects, etc. Our studies (my field is cancer) are routinely vastly underpowered because of the high variability of the datasets we are studying, the low availability of samples, and the large number of variables we collect on these sample.
Also, to a good approximation, everybody p-hacks. Furthermore, the habit of publishing "noteworthy" results (true in every journal, especially true for large impact factor journals) is essentially p-hacking across the entire field. This is a huge problem.
- epistasis 8y agoHow many of your papers consist of a single statistical test, without validation experiments? Because that's the setup that's described in order for "most published research findings are false." In reality, I've never seen a biology paper without several lab techniques and orthogonal verifications, with p-values on some but not all of those experiments.