@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
@jlrohmann.bsky.social
PhD | Epidemiology, Applied #CausalInference, #PublicHealth, Stroke research, improving quality, peer review, higher ed & research assessment reform @ Charité in #Berlin Likes: improving science & improv comedy #EpiSky #Epidemiology #HigherEd #AcademicSky
@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
@r-foundation.bsky.social
Not for profit organization founded by the R Core Team to provide support for the R project. A reference point for interaction with the R development community.
@jdwilko.bsky.social
Centre for Biostatistics, Uni of Manchester. Currently developing INSPECT-SR, a tool to identify problematic clinical trials. Research misconduct, fertility research. Own opinions.
@brennankahan.bsky.social
Principal Research Fellow in Medical Statistics at MRC Clinical Trials Unit at UCL. Clinical trials, estimands, estimation. https://scholar.google.co.uk/citations?user=Lf0jsXAAAAAJ&hl=en&oi=sra
@benvancalster.bsky.social
Medical Statistician at KU Leuven. My brain is like a snail but it gets there in the end (or not).
@gscollins.bsky.social
Statistician • Professor • University of Oxford • NIHR Senior Investigator • 🚴♂️ TRIPOD+AI: tinyurl.com/2dsb9e75 EQUATOR Network: tinyurl.com/5dw4rcy5 Google scholar: tinyurl.com/ysv3zwek #prediction #machinelearning #AI #openscience #metascience
@rabaath.bsky.social
Data science (AKA statistics). Likes conditioning on the data (AKA Bayes). Blog at https://www.sumsar.net. Works at http://Normative.io.
@betanalpha.bsky.social
Zealous modeler. Annoying statistician. Reluctant geometer. Support my writing at http://patreon.com/betanalpha. He/him.
@suziecro.bsky.social
Senior Lecturer in Medical Statistics & Clinical Trials @ Imperial Clinical Trials Unit
@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
@masalmon.eu
https://masalmon.eu/ 🧰 #Rstats / research software engineer. 🗒️ Blogger. 📦 Software review editor for @ropensci. 💜 #RLadies. 📈 PhD in statistics. 🍋 Nancy, France (let's say this emoji is a bergamot orange).
@edbonneville.bsky.social
Biostatistician and PhD Candidate at Leiden University Medical Center (LUMC), the Netherlands missing data/survival analysis/simulating stuff/making plots with questionable colour choices/ #Rstats #StatsSky
@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
@ki.se
Science news from the medical university Karolinska Institutet (KI) in Sweden. Our vision is to advance knowledge about life and strive towards better health for all. https://ki.se/
@danielawitten.bsky.social
dorothy gilford endowed chair and professor of statistics/biostatistics at university of washington, all views my own
@carlbergstrom.com
UW biology prof. I study how information flows in biology, science, and society. Book: *Calling Bullshit*, http://tinyurl.com/fdcuvd7b LLM course: https://thebullshitmachines.com Corvids: https://tinyurl.com/mr2n5ymk I don't like fascists. he/him
@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/
@avehtari.bsky.social
Professor in computational Bayesian modeling at Aalto University, Finland. Bayesian Data Analysis 3rd ed, Regression and Other Stories, and Active Statistics co-author. #mcmc_stan and #arviz developer. Also in Mastodon: https://bayes.club/@avehtari
@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.
@ruthkeogh.bsky.social
Professor of Biostatistics and Epidemiology at the London School of Hygiene & Tropical Medicine.
@rpsychologist.com
Mostly stats, visualization, open science, and psychotherapy. https://rpsychologist.com
@vickersbiostats.bsky.social
Biostatistician at Memorial Sloan Kettering Cancer Center. Special interest in prostate cancer, risk prediction, patient-reported outcomes, decision-making.
@andganna.bsky.social
Associate Prof in health data science @HiLIFE_helsinki @FIMM_UH - MGH/Harvard - Playing with all kind of data - http://dsgelab.org
@bbolker.bsky.social
Ecology, evolution, epidemiology, statistics (mixed models). McMaster University, Hamilton, Ontario
@malcolmbarrett.malco.io
Ph.D., epidemiology. research software engineer @ Stanford Health Policy. living in Ann Arbor. open-source data science. causal inference. doing poems on aircrafts. approximately Bayesian. formerly Posit, Apple, AmeriCorps. 心を燃やせ。sic semper tyrannis.
@mrcctu.bsky.social
We carry out innovative #ClinicalTrials and develop new #Methodology that has global impact, improving health worldwide. #MedSky #StatsSky
@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
@jonathan-bartlett.bsky.social
Biostatistician, London School of Hygiene & Tropical Medicine. Blogging at thestatsgeek.com
@dataandme.bsky.social
former 🥑 dev advocate @rstudio, 🏀 hoop head, data-viz lover, gnashgab, blatherskite, #rstats, doggos, and horses
@seanjtaylor.com
Data Science, Causal Inference, Economics, Statistics and Machine Learning Two joys in life: [1] Learning something interesting about the world [2] Telling people about it Data Science @OpenAI
@alexpghayes.com
incoming postdoc @ stanford + assistant prof @ oregon state. networks, causal inference, contagion, measurement error, #rstats. he/him https://www.alexpghayes.com
@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
@rmcelreath.bsky.social
Anthropologist - Bayesian modeling - organic modem converting poetry into code - cat and cooking content too - Director @ MPI for evolutionary anthropology https://www.eva.mpg.de/ecology/staff/richard-mcelreath/
@vincentab.bsky.social
Prof. Most tweets about R. “Polisci, it’s all about what’s going on.” http://arelbundock.com
@tslumley.bsky.social
Biostatistician. Baritone. He/Him. Product of more than one country. May contain nuts.
@solomonkurz.bsky.social
Clinical psychology researcher | applied statistics geek | so called #RStats influencer
@lucystats.bsky.social
Biostatistician • Assistant Prof @ Wake Forest University • former postdoc @ Hopkins Biostat • PhD @ Vandy Biostat • 🎙 Casual Inference • lucymcgowan.com
@paulbuerkner.com
Full Professor of Computational Statistics at TU Dortmund University Scientist | Statistician | Bayesian | Author of brms | Member of the Stan and BayesFlow development teams Website: https://paulbuerkner.com Opinions are my own
@mjskay.com
Assoc Prof Computer Science and Communication Studies at Northwestern. Infovis, HCI. Author of tidybayes & ggdist R pkgs. he/him. 🏳️🌈 https://mjskay.com/ Co-director https://mucollective.northwestern.edu Co-founder https://journalovi.org
@ellessenne.bsky.social
Data person, outdoor enthusiast, pizza fanatic. 🍕 I sometimes write at ellessenne.xyz.
@stablemarkets.bsky.social
Statistician | Assistant professor @ Brown University Dept of Biostatistics | Developing nonparametric Bayesian methods for causal inference. Research site: stablemarkets.netlify.app #statsky
@f2harrell.bsky.social
Professor of Biostatistics Vanderbilt University School of Medicine Expert Biostatistics Advisor FDA Center for Drug Evaluation and Research https://hbiostat.org https://fharrell.com