Tong Chen
Biostatistician @CEBU MCRI in Melbourne Australia
Causal inference #causalsky + Causal machine learning + Design and analysis of complex sampling + #rstats
tongchen.netlify.app
@achatton.bsky.social
Postdoctoral researcher at Université Laval. PhD in Biostatistics. Causal inference - Casual chess. 🇫🇷🇪🇺 living in lovely 🇨🇦
@paperposterbot.bsky.social
posts updates from arXiv rss feeds for methodology papers in Statistics and Econometrics. Also maintains an arxiv and posts random papers from it. maintainer: @apoorvalal.com source code: https://github.com/apoorvalal/bsky_paperbot
@myramcguinness.bsky.social
Biostatistician who nerds out on clinical and epidemiological ophthalmology. 🇦🇺
@spmontecarlo.bsky.social
Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him). Homepage: https://sites.google.com/view/sp-monte-carlo Seminar: https://sites.google.com/view/monte-carlo-semina
@visnut.bsky.social
Professor. Statistical graphics, EDA, data science, open source and R. Gender equity. she/her
@casualinfer.bsky.social
Casual Inference Podcast. Hosted by @LucyStats.bsky.social & @EpiEllie.bsky.social | Partnered with The American Journal of Epidemiology | Casual chats about epi & stats. Episodes every other week!
@sebdarses.bsky.social
Math Assoc. Prof. at Aix-Marseille (France) Currently on Sabbatical at CRM-CNRS, Université de Montréal Teaching Project (non-profit): https://www.highkholle.fr/ https://sites.google.com/view/sebastien-darses/welcome
@pwgtennant.bsky.social
Epidemiologist with an interest in causal inference methods at @universityofleeds.bsky.social. Check out my Intro to Causal Inference Course: https://www.causal.training/ #Epidemiology, #EpiSky, #CausalInference, #CausalSky, #AcademicSky
@enar-ibs.bsky.social
Oficial Bluesky account of the Eastern North American Region of the International Biometric Society.
@njtierney.bsky.social
|| PhD Statistics | Research Software Engineer | Loves #rstats | Outdoors person | Coffee person | Photography person | Serial Hobbiest | he/him ||
@panzhao.bsky.social
Postdoctoral Research Associate, Statistical Laboratory, University of Cambridge
@andrew.heiss.phd
Assistant professor at Georgia State University, formerly at BYU. 6 kids. Study NGOs, human rights, #PublicPolicy, #Nonprofits, #Dataviz, #CausalInference. #rstats forever. andrewheiss.com Signal: andrewheiss.01
@xihonglin.bsky.social
Professor of Biostatistics and Statistics, Harvard U, Genomics, ML, Health
@philippbach.bsky.social
Post-doc: Causal machine learning, causality, data science, statistics, econometrics ; https://philippbach.github.io/
@handle.invalid
Professor of econometrics at Tilburg U. Managing editor of EctJ. Fellow of IAAE, ES, and CEPR. https://jaap.abbring.org
@maxkasy.bsky.social
Econ prof at Oxford. Machine learning, politics, econometrics, inequality, random reading recs. maxkasy.github.io/home/
@quarto.org
Open-source scientific and technical publishing system brought to you by posit.co. github.com/quarto-dev/quarto-cli
@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
@nshejazi.bsky.social
assistant professor of biostatistics at harvard — causal inference, machine learning, and semi-parametric estimation, mostly for questions in infectious disease science and climate change avid runner, concertgoer, timezone hopper https://nimahejazi.org
@stphrolland.bsky.social
posts in Roma🇫🇷🇪🇸🇮🇹🇵🇹🇧🇷(🇷🇴)+Germ🇳🇱🇧🇪🇩🇪🇬🇧(🇸🇪🇳🇴🇩🇰)~Eo~Slav🇵🇱(🇸🇰🇨🇿🇭🇷🇺🇦🇷🇺🇧🇬)~A1🇨🇳🇹🇼~A0🇯🇵🇹🇷🇫🇮 Linguistics Climate Agnotology-Disinformation Bayes-Stats-Data-ML FP-Maths Linux Antispecism Astro 🌒🌕🌘 born@332ppm
@robjhyndman.com
Professor of Statistics, Monash University, Australia. Interested in #forecasting, #rstats, #statistics. he/him http://robjhyndman.com
@jiaxinzhang.bsky.social
Postdoctoral biostatistician @unimelb @MCRI_for_kids @vicbiostat | Interests: causal inference, missing data
@nicolewhite.bsky.social
Biostatistician and Associate Professor at the Australian Centre for Health Services Innovation QUT 🇦🇺 She/Her Meta-research, infectious disease & acute care
@julieasimpson50.bsky.social
Professor of Biostatistics, malaria researcher, Director of MISCH Hub and investigator of ACREME - views are my own
@cameronpat.bsky.social
stats consultant and PhD student in Epidemiology & Biostatistics (multiple imputation, causal inference, clinical trials) @ University of Melbourne. always graph your data. also runs, bikes, hikes, etc. he/him #BiInSci 🏳️🌈 https://cameronpatrick.com/
@lachcribb.bsky.social
PhD student working on causal inference methods & dementia at Monash University. lachlancribb.netlify.app
@cebu-melbourne.bsky.social
We provide high-level #biostatistics expertise and training to child health researchers at Murdoch Children's Research Institute & University of Melbourne & conduct methodological research @vicbiostat.bsky.social
@amstatnews.bsky.social
The American Statistical Association, the world’s largest community of statisticians and second oldest, continuously operating professional society in the US.
@statstas.datascience.blue
Social data scientist AMA about survey statistics, sampling weights, small area estimation, multilevel models, latent class analysis, structural equation models, #rstats, #Stata. Scraping contents of this account is not permitted.
@eurocim.bsky.social
The European Causal Inference Meeting - causal inference in health, economic and social science.
@yalesph.bsky.social
Linking Science & Society | Official account of the Yale School of Public Health
@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
@statmodeling.bsky.social
Automatically tweets new posts from http://statmodeling.stat.columbia.edu Please respond in the comment section of the blog. Old posts spool at https://twitter.com/StatRetro
@vicbiostat.bsky.social
The Victorian Centre for Biostatistics. A collaboration between the Murdoch Children's Research Institute, Monash University and The University of Melbourne. https://www.vicbiostat.org.au/
@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
@larsvanderlaan3.bsky.social
Ph.D. Student @uwstat; Research fellowship @Netflix; visiting researcher @UCJointCPH; M.A. @UCBStatistics - machine learning; calibration; semiparametrics; causal inference. https://larsvanderlaan.github.io
@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
@dinomirmt.bsky.social
Understanding and supporting people in their spatial interactions through computational #spatial #data #science #giscience #melbourne 🛶🚵♂️🥾🏊♂️🐕 @unimelb, own views. support 🇺🇦 www.tomko.org
@apoorvalal.com
causal inference, econometrics, ML, arsenal, loud music, unix, FOSS for scientific computing. apoorvalal.github.io (passively) maintains @paperposterbot.bsky.social
@navreetkaur.bsky.social
PhD at UW iSchool. Research in NLP, Responsible AI, AI Ethics. She/her navreeetkaur.github.io
@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
@aschuler.bsky.social
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/
@posit.co
We make free, open-source software for data scientists like the RStudio IDE. We're formerly known as RStudio. You can always download our open-source IDE here. https://posit.co/download/rstudio-desktop/
@thoughtfulnz.bsky.social
I like collating data, and getting thoughts in the brain. I run https://thoughtfulnz.quarto.pub/nzcovidreport/ All for Public data, Aotearoa New Zealand, and informed communities. #openData #NewZealand #Aotearoa #rstats. He/him. He tangata tiriti ahau
@lizstuart.bsky.social
Statistician; Professor and Chair @JHUBiostat @JohnsHopkinsSPH, w/links to @SREESociety, @AmericanHealth. Oh, & spouse, mom, runner, traveler.
@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.
@noahgreifer.bsky.social
Statistical consultant and programmer at Harvard IQSS. Author/maintainer of the #Rstats packages 'MatchIt', 'WeightIt', and 'cobalt' for causal inference, among many others | He/him ngreifer.github.io