@mfschomaker.bsky.social
Heisenberg Professor for Biostatistics at the Department of Statistics, LMU München | causal inference - missing data - HIV michaelschomaker.github.io
@enar-ibs.bsky.social
Oficial Bluesky account of the Eastern North American Region of the International Biometric Society.
@jhubiostat.bsky.social
Johns Hopkins Bloomberg School of Public Health, Department of Biostatistics; the world's first department of biostatistics. Find us online: https://publichealth.jhu.edu/departments/biostatistics Subscribe: https://mailchi.mp/jh/biostats-newsletter
@mrc-bsu.bsky.social
We develop, apply and promote innovative statistical and data science approaches to advance biomedical science and human health. www.mrc-bsu.cam.ac.uk
@ocbe.bsky.social
OCBE develops statistical, machine learning and epidemiological methods to progress science and contribute to a better health @uio.no and Oslo University Hospital https://www.med.uio.no/imb/english/research/centres/ocbe/
@epidbydesign.bsky.social
Epidemiologist, writer, bon vivant. Professor @UNC (opinions my own); co-PI of STAR Cohort; "Morpheus of the Table 2 Fallacy.” He/him.
@epiellie.bsky.social
Epidemiologist and science communicator | newsletter: epiellie.substack.com | cohost @casualinfer podcast | Causal inference for public health #epitwitter | Canadian in US 🇨🇦 | she/her/Dr
@causalscience.org
Fostering a dialogue between industry and academia on causal data science. Causal Data Science Meeting 2024: causalscience.org
@causalab.bsky.social
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
@causalhuber.bsky.social
Professor of Applied Econometrics and Policy Evaluation at the University of Fribourg/Freiburg (Switzerland) - causal analysis, statistics, econometrics, machine learning...and telemarking
@miguelhernan.org
https://miguelhernan.org/ Using health data to learn what works. Making #causalinference less casual. Director, @causalab.bsky.social Professor, @hsph.harvard.edu Methods Editor, Annals of Internal Medicine @annalsofim.bsky.social
@statsmethods.bsky.social
Professor of Statistical Epidemiology, Leeds Beckett University, UK
@bsky.app
official Bluesky account (check username👆) Bugs, feature requests, feedback: support@bsky.app