James Hawley, PhD<p>The more I learn about <a href="https://scholar.social/tags/statistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statistics</span></a>, the more I understand that:</p><p>1. I don't fully understand what experimental design means in theory or practice aside from a culture of tradition and learning by example<br>2. common <a href="https://scholar.social/tags/compBio" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>compBio</span></a> techniques like generalized linear models have such a technical depth we rarely understand, which leads to us misunderstand/misinterpret our results<br>3. there are many ways to do the same thing, but each have nuanced trade-offs that are difficult to express without simulations</p>