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JM
Julia M. Rohrer
@dingdingpeng.the100.ci
Well-being & personality psych @UniLeipzig. I like all things science, beer, & puns. Even better when combined! Part of the100.ci, openscience-leipzig.org
2.8k followers1.1k following2k posts
JMdingdingpeng.the100.ci

Very brief commentary by Vanessa Didelez on causal discovery and the role of expert knowledge when building DAGs: academic.oup.com/aje/advance-... Already suspected that I would like this after her talk yesterday, but I really do dig her writing -- it's very crisp and accessible.

Invited Commentary: Where Do the Causal DAGs Come From?

Abstract
How do we construct our causal DAGs, e.g. for life course modelling and analysis? In this commentary I review how the data-driven construction of causal DAGs (causal discovery) has evolved, what promises it holds and what limitations or caveats must be considered. In conclusion I find that expert- or theory-driven model building might benefit from some more checking against the data and causal discovery could bring new ideas into old theories.
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christph.bsky.social

Paywalled, unfortunately 😕

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JMdingdingpeng.the100.ci

oh no i looked her up and now my reading list is exploding

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MGmariaglymour.bsky.social

I love this article! I'm so glad it's out.

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DWwpball.com

I've been thinking for a while about different ways of creating DAGs. I haven't seen anyone use an approach with patient/public involvement. With some training & facilitation, I think most people could get their head around it and bring some valuable insight.

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JM
Julia M. Rohrer
@dingdingpeng.the100.ci
Well-being & personality psych @UniLeipzig. I like all things science, beer, & puns. Even better when combined! Part of the100.ci, openscience-leipzig.org
2.8k followers1.1k following2k posts