Earlier quoted context omitted.
Yes, the most common example would be clinical trials for drugs and other medical treatments- often have thousands of patients (with recruitment being the limiting factor). There are tons of ways that studies can go wrong, for example when patients don't take the treatment and lie (this is common) or have other lifestyle factors that influence the results, which can't be easily smoothed out with slightly larger N. I…
From my reading, that's not generally true. It all depends on the methodology. Safety or feasibility studies can use very small sample sizes. I've been reading safety studies on monoclonal antibodies like Cimzia, for example: https://pubmed.ncbi.nlm.nih.gov/29030361/ (N=16) https://pubmed.ncbi.nlm.nih.gov/28814432/ (N=17) https://ard.bmj.com/content/83/Suppl_1/1145.2 (N=21) Of course, these are not nutritional studie…
It's also indicated for use in a disease we don't understand, for people who didn't respond to all the previously approved drugs. Not a good example at all.