Arthur Chatton
Postdoctoral researcher at Université Laval. PhD in Biostatistics. Causal inference - Casual chess. 🇫🇷🇪🇺 living in lovely 🇨🇦
@kararudolph.bsky.social
Associate professor at Columbia University Epidemiology, causal inference, addiction medicine https://kararudolph.github.io/
@cttc101.bsky.social
Biostatistician @CEBU MCRI in Melbourne Australia Causal inference #causalsky + Causal machine learning + Design and analysis of complex sampling + #rstats tongchen.netlify.app
@paper-feed.bsky.social
Building personalized Bluesky feeds for academics! Pin Paper Skygest, which serves posts about papers from accounts you're following: https://bsky.app/profile/paper-feed.bsky.social/feed/preprintdigest. By @sjgreenwood.bsky.social and @nkgarg.bsky.social
@lshtm-dash.bsky.social
Bringing together data science expertise across LSHTM to tackle the biggest global health problems.
@joy-shi.bsky.social
Assistant Professor @mgbresearch.bsky.social and @causalab.bsky.social. Interested in epidemiology, causal inference and pedagogy.
@theatlantic.com
Exploring the American idea through ambitious, essential reporting and storytelling. Of no party or clique since 1857. http://theatlantic.com
@crchum.bsky.social
Le Centre de recherche du CHUM (#CRCHUM) est le plus grand centre de recherche dans le domaine des sciences biomédicales et des soins de santé de l’Université de Montréal. Il figure parmi les plus imposants et les plus modernes au Canada.
@ircm.bsky.social
Lieu de haut savoir scientifique, l’IRCM est un institut de recherche biomédicale de réputation internationale situé en plein cœur du milieu universitaire montréalais.
@rimuhc.bsky.social
L'Institut de recherche du Centre universitaire de santé McGill. Faire progresser la santé de précision tout au long de la vie. The Research Institute of the McGill University Health Centre. Advancing precision health throughout the life course.
@chumontreal.bsky.social
Le Centre hospitalier de l’Université de Montréal se distingue par l’excellence de ses soins et l’expertise de ses spécialistes et professionnels. https://www.chumontreal.qc.ca/
@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
@meghannnn.bsky.social
Associate Professor, Dept of Health, Behavior & Society @Johns Hopkins Bloomberg School of Public Health. Studying health communication 🩺📺, tobacco control 🚬, cannabis 🍃, misinformation 📊. @upenn @usc alum. I promise I’m still punk.
@denismongin.bsky.social
Started with lasers and nonlinear optics, now with biomedical informatics, data and statistics in health sciences. Research in #Metaresearch, #rheumatology and #publichealth at HUG and University of Geneva. #Rstats ninja, #Openscience
@karenlauram.bsky.social
ResearchScientist, @oii.ox.ac.uk UniversityOfOxford: Adolescent MentalHealth/Wellbeing/Learning, MetaScience, Digital/Social Media, SocialEquity, ResearchIntegrity, MixedMethods. People&Planet, ActiveTravel, Sustainability. FirstGen Imposter in Academia
@jmgran.bsky.social
Professor of biostatistics at the University of Oslo. Causal inference, survival/event history analysis, jmgran.github.io
@vickersbiostats.bsky.social
Biostatistician at Memorial Sloan Kettering Cancer Center. Special interest in prostate cancer, risk prediction, patient-reported outcomes, decision-making.
@rush-099.bsky.social
Postdoctoral biostatistician at Murdoch Children's Research Institute and University of Melbourne★Biostatistics research : causal inference and missing data problems in child health, population allergy and social epidemiology ★she/her ★Views my own
@pboileau.bsky.social
Assistant professor of biostatistics at McGill Causal inference, high-dimensional statistics, machine learning, precision medicine, and statistical software https://pboileau.ca/
@pierredetear.bsky.social
Première communauté francophone sur la Roue du Temps de Robert Jordan. On parle aussi beaucoup du Cosmère de Sanderson ! Site ==> https://pierredetear.fr Discord ==> https://discord.gg/CUA4bvBK7S Twitch ==> https://twitch.tv/pierredetear
@donskerclass.bsky.social
Econometrics, Statistics, Computational Economics, etc 🏳️⚧️ http://donskerclass.github.io
@alecmcclean.bsky.social
Postdoc @ NYU Grossman; stats / ML + causal inference https://alecmcclean.github.io/
@legaultm.bsky.social
Genetic epidemiology and pharmacogenomics research, U de Montréal
@geographyfacts.bsky.social
Exploring the world through flags and maps🌍 Your daily dose of geography, one post at a time!
@ghazalehd.bsky.social
Snr Research Fellow in Biostatistics at Murdoch Children's Research Institute & UniMelb, research in causal inference & missing data methods, also in child/ adolescent/ intergenerational health, cancer, & social epidemiology (she/her) On Wurundjeri land
@margaritamb.bsky.social
Professor of Biostatistics. University of Melbourne & Murdoch Children’s Research Institute. Research in causal inference and missing data methods + child, lifecourse and social epidemiology
@juhakarvanen.bsky.social
Professor of Statistics at University of Jyväskylä. Interested in causal models, study design, and missing data. Homepage: http://users.jyu.fi/~jutakarv/
@eurocim.bsky.social
The European Causal Inference Meeting - causal inference in health, economic and social science.
@denistalbotbiostat.bsky.social
Professor of biostatistics at Université Laval, causal inference enthusiast, dog-lover
@jclinepi.bsky.social
Metascience and innovative methods to improve population health Co-Editors-in-Chief: @andreatricco.bsky.social and @davidit.bsky.social Jclinepi.com Published by Elsevier
@uqam.ca
L’UQAM offre plus de 365 programmes d’études et rayonne dans de nombreux domaines de recherche et de création.
@mcgill.ca
Over 200 years of great education, excellent research, in service to society. 🔗 www.mcgill.ca
@mfschomaker.bsky.social
Heisenberg Professor for Biostatistics at the Department of Statistics, LMU München | causal inference - missing data - HIV michaelschomaker.github.io
@lisabodnar.bsky.social
shiny epi people podcast host | epidemiologist studying nutrition and perinatal health | mom of 3 | drinker of wine (see previous) | she/her
@louisahsmith.com
Assistant professor at Northeastern (Health Sciences) & the Roux Institute in Portland, ME. Epidemiologic methods, causal inference, biostats, reproductive and perinatal epi, #rstats, teaching & learning. she/her 🐶🚴♀️🏔️🎗️
@whaleactually.com
econ, epi, stats, meta, causal inference mutant scientist, epistemic humility fairy godmother, chaos muppet. doing researchy metasciencey stuff at the Center for Open Science
@ises-epi.bsky.social
Facilitating dialogue among those engaged in the research and practice of social epidemiology & the social determinants of health around the world. https://www.social-epi.org
@amjepi.bsky.social
Founded in 1920 and owned by Johns Hopkins Bloomberg School of Public Health.
@pronouncedkeil.bsky.social
Epidemiologist by day and often night | @theNCI @NCIEpiTraining | #CausalBlueSky | Environment | Mixtures
@robjhyndman.com
Professor of Statistics, Monash University, Australia. Interested in #forecasting, #rstats, #statistics. he/him http://robjhyndman.com
@rdpeng.org
Professor of Statistics and Data Sciences UT Austin | Prev JHUBiostat | R Programming for Data Science | Simply Stats Blog | Not So Standard Deviations | The Effort Report
@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
@mariaglymour.bsky.social
Professor and Chair of the Department of Epidemiology at Boston University School of Public Health
@lesslikely.com
Agnostic statistician (frequentist, bayesian, likelihoodist, fiducial) | Posts about statistics in medicine at http://lesslikely.com | | #StatsTwitter • #EpiTwitter • #RStats
@iiijohan.bsky.social
Biostatistician at UCR - Uppsala Clinical Research Center | prediction models | biomarker research | #rstats #stats | YNWA