Daniel Westreich @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.
Donald Szlosek @dszlosek.bsky.social Biostatistician @IDEXX. @johnshopkins. Formerly @harvardmed, @BIDMChealth, @nasa. Real-world evidence, clinical trials, diagnostic validation. CoOrganizer BostonR. Mainer. he/him.
Arman Oganisian @stablemarkets.bsky.social Statistician | Assistant professor @ Brown University Dept of Biostatistics | Developing nonparametric Bayesian methods for causal inference.
Research site: stablemarkets.netlify.app
#statsky
Amstat-American Statistical Association @amstatnews.bsky.social The American Statistical Association, the world’s largest community of statisticians and second oldest, continuously operating professional society in the US.
Fred Hutch Biostatistics Program @fredhutchbiostat.bsky.social The Biostatistics Program at Fred Hutch advances statistical science as a foundation for data-driven, rigorous, and collaborative research in public health, clinical trials, basic science, and biomedical discovery.
SWOG Cancer Research Network @swog.org SWOG Cancer Research Network runs publicly funded clinical trials that have saved 3 million+ years of life. Founded by the National Cancer Institute in 1956. Member NCTN & NCORP. Online at swog.org. @SupportingSWOG.bsky.social partner.
Matthew J. Smith @mjtsmith.bsky.social PhD - Medical Statistician 💊📈
All things Emulated Trials 🍎🍏
#causalsky #statsky #episky
Paloma Rojas-Saunero @palolili23.bsky.social Epidemiologist MD PhD | Amaru's mom | ella/she/her | postdoc l Bolivian
https://paloma-rojas-saunero.netlify.app/
Stephen Senn @stephensenn.bsky.social Swiss & British statistician.
apoorva lal @apoorvalal.com causal inference, econometrics, ML, arsenal, loud music, unix, FOSS for scientific computing. opinions my own.
apoorvalal.github.io
(passively) maintains @paperposterbot.bsky.social
Pausal Zivference @pausalz.bsky.social Paul Zivich, Assistant (to the Regional) Professor
Computational epidemiologist, causal inference researcher, amateur mycologist, and open-source enthusiast.
https://github.com/pzivich
#epidemiology #statistics #python #episky #causalsky
Dr Ellie Murray, ScD @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
Julia M. Rohrer @dingdingpeng.the100.ci Personality psych & causal inference @UniLeipzig. I like all things science, beer, & puns. Even better when combined! Part of http://the100.ci, http://openscience-leipzig.org
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
EORTC Quality of Life Group (QLG) @qol.eortc.org The EORTC Quality of Life Group (QLG) aims to better understand the effects of cancer and its treatments on health-related quality of life (HRQoL) for patients across diverse populations and cultures.
European Organisation for Research and Treatment of Cancer @eortc.org We define better treatments for all cancer patients to prolong survival and improve quality of life.
Morten Wang Fagerland @mortenwf.bsky.social Biostatistician at the Oslo Centre for Biostatistics and Epidemiology (OCBE), Norwegian School of Sport Sciences, and Oslo Sports Trauma Research Center (OSTRC)
Oslo Centre for Biostatistics and Epidemiology @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/
Harvard Epidemiology @harvardepi.bsky.social The official account of the Harvard T.H. Chan School of Public Health Department of Epidemiology | Our YouTube: http://goo.gl/3JZ4wR
The EuroCIM @eurocim.bsky.social The European Causal Inference Meeting - causal inference in health, economic and social science. 
Ruth Keogh @ruthkeogh.bsky.social Professor of Biostatistics and Epidemiology at the London School of Hygiene & Tropical Medicine. 
Leiv Rønneberg @ltronneberg.bsky.social Postdoctoral fellow @ University of Oslo (back home in 🏔️🇳🇴🏔️), Bayesian stats (high-dimensional, nonparametric, ML), biostatistics, computation. Previously @ MRC Biostatistics Unit, University of Cambridge 🇬🇧
Wenbo Wu @wenbowu.bsky.social Assistant Professor at Johns Hopkins Bloomberg School of Public Health | AI | Machine Learning | Causal Inference | Data Science | Health Services Research | Aging | Kidney Disease | https://wenbowu.me
Iván Díaz @idiaz.bsky.social Statistician. Associate prof. at NYU Grossman Department of Population Health. Causal inference, machine learning, and semiparametric estimation.
https://idiazst.github.io/website/
Sherri Rose @sherrirose.bsky.social Stanford Professor | Computational Health Economics & Outcomes | Fair Machine Learning | Causality | Statistics | Health Policy | Health Equity
drsherrirose.org
Lab manual: stanfordhpds.github.io/lab_manual
Personal account
Jeremy Labrecque @jeremylabrecque.bsky.social Epidemiologist and causal inference person at Erasmus Medical Center. Québécois living in Rotterdam.
jeremylabrecque.org
Rebecca Hubbard @rhubbbstat.bsky.social professor of biostatistics at brown, professional skeptic, lover of cats and Star Trek
Jon Michael Gran @jmgran.bsky.social Professor of biostatistics at the University of Oslo. Causal inference, survival/event history analysis, jmgran.github.io
Jon Fintzi @iheartstatjokes.bsky.social Mathematical statistician at NIAID. Come for the stat jokes, stay for the dad jokes, and don't forget to tip your wait staff. In practice, mostly using this to keep track of my reading list.
Elizabeth Stuart @lizstuart.bsky.social Statistician; Professor and Chair @JHUBiostat @JohnsHopkinsSPH, w/links to @SREESociety, @AmericanHealth. Oh, & spouse, mom, runner, traveler.
Mike Wu @wu-biostat.bsky.social Biostatistician; Prof at Fred Hutch and UW; Developing statistical methods for microbiome/genomic data, cancer clinical trials, and translational medicine. 
Johns Hopkins Dept of Biostatistics @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
Miguel Hernan @miguelhernan.org https://miguelhernan.org/
Using health data to learn what works.
Making #causalinference less casual.
Director, @causalab.org
Professor, @hsph.harvard.edu
Methods Editor, Annals of Internal Medicine @annalsofim.bsky.social- D Daniel Scharfstein @dscharf3.bsky.social Professor of Biostatistics, University of Utah
Edward H. Kennedy @edwardhkennedy.bsky.social assoc prof of statistics & data science at Carnegie Mellon
https://www.ehkennedy.com/
interested in causality, machine learning, nonparametrics, public policy, etc
Bluesky @bsky.app official Bluesky account (check username👆)
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