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Dr Mircea Zloteanu 🌼🐝<p>If I collect some data for a new treatment, but don't collect a control group, can I use the data from an older study that has the control condition? If so, how would I integrate this into my analysis? and what is the name for this? historical control? </p><p><a href="https://mastodon.social/tags/statstodon" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statstodon</span></a> <a href="https://mastodon.social/tags/stats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>stats</span></a> <a href="https://mastodon.social/tags/research" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>research</span></a> <a href="https://mastodon.social/tags/bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesian</span></a></p>
Martin Modrák<p>If I were to say that the primary benefit of randomization (and possibly blinding) is that it makes simple statistical models match the true data generating process quite well, would that be a provocative statement? Or would that be obvious? Is there a good reference for this line of reasoning?</p><p><a href="https://bayes.club/tags/stats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>stats</span></a> <a href="https://bayes.club/tags/statstodon" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statstodon</span></a> <a href="https://bayes.club/tags/phil" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>phil</span></a> <a href="https://bayes.club/tags/philosophy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>philosophy</span></a> <a href="https://bayes.club/tags/philsci" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>philsci</span></a> <a href="https://bayes.club/tags/philscidon" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>philscidon</span></a></p>
Dr Mircea Zloteanu 🌼🐝<p><a href="https://mastodon.social/tags/r" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>r</span></a> and <a href="https://mastodon.social/tags/statstodon" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statstodon</span></a> people: do you have any resources for running sensitivity power analyses for mixed effects models? (e.g. for fixed samples to determine what is the smallest reliable detectable effect at a specific power level)</p><p><a href="https://mastodon.social/tags/power" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>power</span></a> <a href="https://mastodon.social/tags/stats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>stats</span></a> <a href="https://mastodon.social/tags/NHST" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NHST</span></a></p>
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