More is not better–when statistics turn bad (it’s just not as entertaining as when animals do)
As with everything, more is not usually better. In statistics, more actually makes you more prone to being accidentally wrong (or, in statistics-lingo, spurious). Today, I’d like to talk about a basic concept that is taught to students in their introductory statistics courses (and hence, you would think, most researchers): The effect of multiple significance testing. Read More...
Different kinds of important.
In clinical research, there are two kinds of important–the important kind and the unimportant kind. Read More...