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shakedown.social is one of the many independent Mastodon servers you can use to participate in the fediverse.
A community for live music fans with roots in the jam scene. Shakedown Social is run by a team of volunteers (led by @clifff and @sethadam1) and funded by donations.

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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>
Jon Huang<p>The reflex to indiscriminately stratify and adjust on covariates is strong in biomedical research. I face this so often, especially with clinician-scientist collaborators.</p><p>The analyses and models that arise from this, in fact, often do not well represent how exposures and treatments exert their effect in reality.</p><p>A <a href="https://aus.social/tags/TargetTrial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TargetTrial</span></a> approach crystallizes when, where, and how co-variates should be treated. </p><p>Take this great illustration from Target Trial originator <span class="h-card"><a href="https://fediscience.org/@MiguelHernan" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>MiguelHernan</span></a></span> where he explains the study design choices for study on COVID vaccine booster effectiveness:</p><p><a href="https://fediscience.org/@MiguelHernan/109331025655365201" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">fediscience.org/@MiguelHernan/</span><span class="invisible">109331025655365201</span></a></p><p><a href="https://aus.social/tags/epidemiology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>epidemiology</span></a> <a href="https://aus.social/tags/biostatistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>biostatistics</span></a> <a href="https://aus.social/tags/epitwitter" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>epitwitter</span></a> <a href="https://aus.social/tags/statstodon" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statstodon</span></a> <a href="https://aus.social/tags/epiVerse" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>epiVerse</span></a> @epiVerse</p>
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