On one hand: YAY SCIENCE AND DATA! On the other hand: Ahhhh, figs. The sample size is incredibly small (n=35), but it appears to be a well-constructed & controlled study. This merits further investigation. And that's exactly what the abstract ends with. My husband and I switched to soy milk about 15 years ago. Anecdote, he had his testosterone tested recently and it was fairly high [he's completely bald], I have not…
Larger sample sizes increase the possibility of Type II errors. Too small versus too large is a common line researchers walk. n=35 is completely reasonable and common in this type of study.
So more samples is worse for a study like this?
Seems counter-intuitive, but I'm not a stats guy.