CAUSALab @causalab.org Actionable #causalinference with real-world impact.
We use health data to help decision makers make better decisions.
We train investigators at Harvard T.H. Chan School of Public Health.
Connect with CAUSALab: https://linktr.ee/causalab
University of Washington Department of Global Health @uwdgh.bsky.social Achieving sustainable, quality health globally.
University of Washington School of Public Health @uwsph.bsky.social Official UW SPH | Working towards a world of healthy people 🌎💜 For more stories of our impact, visit sph.uw.edu or discover our channels @uwsph
Lorenzo Fabbri @epilorenzo.bsky.social Cancer epidemiologist at CNIO 🇪🇸. Causal inference + evidence triangulation on the environmental & social determinants of cancer. PhD in Biomedicine (UPF/ISGlobal). Author of the etverse R ecosystem, forrest & orcidtr. From San Marino 🇸🇲.
@rss-csml.bsky.social @rss-csml.bsky.social 
Causal Inference @statsmethods.bsky.social Statistical Epidemiologist, Leeds Beckett University, UK - constantly wondering what's wrong with humanity.
Perhaps more focused on the crazy world of politics right now, but also interested in data science methodology.
CTML - Center for Targeted Machine Learning and Causal Inference @berkeleyctml.bsky.social CTML, at UC Berkeley, is an interdisciplinary research center for advancing, implementing, and disseminating methodology to address problems arising in public health and clinical medicine.
https://linktr.ee/ctml_ucberkeley
Royal Statistical Society @royalstatsoc.bsky.social We're a membership body for statisticians and data professionals, promoting a world with data at the heart of understanding and decision-making.
YSS @statsyss.bsky.social We are the Young Statisticians Section of the Royal Statistical Society👶🔢. The views expressed are our own and do not necessarily represent those of the RSS.
Bluesky @bsky.app official Bluesky account (check username👆)
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