I love the Monday evening social! 😎 #CausalIntroCourse

🙌 Big shout out to my co-authors
Emma Lieske
Elena Tamayo Cuartero
Elena Fischer
Lydia Jones

🙌 Huge thanks to the team of supervisors & co-authors for the excellent guidance on this project - it was my master’s thesis!
@jlrohmann.bsky.social
@tweissgerber.bsky.social
@mpiccininni3.bsky.social

In observational, causally-aimed neurology research, we investigated 🔎
❓ How often Grotta bars are used
❓ How often are they adjusted
❓ What adjustment methods are used

We also created infographics to help readers interpret these graphs, and guide authors while generating them

#stroke #causalsky

When an observational study has causal aims, unadjusted Grotta bars will show confounded comparisons. This may lead to incorrect interpretation of observational study results.

Therefore…

Simply showing a graph with observed outcome data only (unadjusted visualization) can be very misleading! Like we adjust the effect measures of interest for confounding, so too should we present adjusted versions of these bars alongside the crude/unadjusted ones.

#metaresearch #academicsky #episky

Because randomization (ideally) works wonders, the contrast shown here is a causal one, and shows that tPA was (and still is) a very effective treatment. But what about when randomization is not possible and we are interested in answering causal questions using observational data?

Grotta bars are a powerful tool to visualize and compare ordinal variables. They’re often used to depict functional outcomes in #neurology research. Perhaps the most memorable (and their namesake) is from the original #thrombolysis trials

www.nejm.org/doi/full/10....