Earlier quoted context omitted.
>"The experiment is set up so that there are no true positives." No, a true positive is when the null model is called false when it is false. They say the null is known to be false. The errors here are actually the false negatives, in this case that is every "non-significant" result. >"When the threshold is p Only if the null model is correct. In this case they describe problematic aspects of their null model. Ie the…
> They say the null is known to be false. Can you quote where they say that, because the article says: "Because two groups of subjects are randomly drawn from a large group of healthy controls, the null hypothesis of no group difference in brain activation should be true. Moreover, because the resting-state fMRI data should contain no consistent shifts in blood oxygen level-dependent (BOLD) activity, for a single gro…
What gets plugged in as the null hypothesis is not a problem in the realm of statistics. That is a choice of the researcher. The stats algorithm worked fine.