Statistician. Associate prof. at NYU Grossman Department of Population Health. Causal inference, machine learning, and semiparametric estimation.
https://idiazst.github.io/website/
Assistant Professor of Biostatistics UC Berkeley
semiparametric statistics, machine learning, causal inference, stats/ML pedagogy, social justice
Modern Causal Inference Book: alejandroschuler.github.io/mci/
statistics & causal inference
assoc prof of statistics & data science at Carnegie Mellon
https://www.ehkennedy.com/
interested in causality, machine learning, nonparametrics, public policy, etc
Statistician; Professor and Chair @JHUBiostat @JohnsHopkinsSPH, w/links to @SREESociety, @AmericanHealth. Oh, & spouse, mom, runner, traveler.
Rollins Assistant Professor of Biostatistics @EmoryRollins, PhD @JHU.edu
Interested in causal inference, missing data, machine learning, algorithmic fairness, non/semiparametrics, graphical models, etc
raziehnabi.com
Assistant professor of biostatistics at Columbia University
Casual inference, statistics, etc
Pauca sed Matura
Dean @ SLU College for Public Health & Social Justice; RCT & health equity statistician; runner; she/her
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
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
Professor of Biostatistics, University of Utah
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
Biostatistician, London School of Hygiene & Tropical Medicine. Blogging at thestatsgeek.com
Professor of Biostatistics
Vanderbilt University School of Medicine
Expert Biostatistics Advisor
FDA Center for Drug Evaluation and Research
https://hbiostat.org https://fharrell.com
Biostatistician working on methodology at Novartis. Simulation studies, non-inferiority, missing data, estimands, covariate adjustment…
He/him
https://tpmorris.substack.com/
Postdoc at Ghent University. Interested in causal inference, clinical and pragmatic trials. Kellyvanlancker.com
official Bluesky account (check username👆)
Bugs, feature requests, feedback: support@bsky.app