Matthew J. Smith
PhD - Medical Statistician 💊📈
All things Emulated Trials 🍎🍏
#causalsky #statsky #episky
@esnightingale.bsky.social
Research Fellow in polio eradication @ LSHTM. Spatial statistics/epidemiology and infectious disease surveillance. Talk to me about wastewater surveillance, disease elimination, climate change and/or sewing.
@rachpips.bsky.social
Senior Lecturer in Medical Statistics and Clinical Trials, Imperial College London.
@lshtm-dash.bsky.social
Bringing together data science expertise across LSHTM to tackle the biggest global health problems.
@fermatslibrary.bsky.social
A platform for illuminating academic papers. We annotate and share a paper every week.
@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
@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
@andkarch.bsky.social
Epidemiologist and physician. Head of the Clinical Epi Group at the University of Münster
@jmgran.bsky.social
Professor of biostatistics at the University of Oslo. Causal inference, survival/event history analysis, jmgran.github.io
@kathoffman.bsky.social
biostatistician + biostatistics phd student at the university of washington. learning + writing about better ways to conduct research. #rstats, #dataviz, causal inference. she/her. blog: https://www.khstats.com/
@ruthkeogh.bsky.social
Professor of Biostatistics and Epidemiology at the London School of Hygiene & Tropical Medicine.
@kareemcarr.bsky.social
Stats PhD student @Harvard • My posts are a cool, refreshing breeze of nerdy content crafted for a broad audience. Follow me to enter the nerd space safe.
@mattpfox.bsky.social
Professor of Epidemiology/Global Health. Caring about kindness in academia. @busph Free Associations podcast co-host pophealthex.org/fa
@thomasjaki.bsky.social
Professor of Statistics at University of Regensburg and University of Cambridge
@annaschultze.bsky.social
Assistant professor @LSHTM working on pharmacoepidemiology, self-controlled study designs and COVID-19. Opinions on epi methods, reproducibility and research culture. She/her.
@bquilty.bsky.social
Infectious disease epidemiologist and modeller based at Charité Berlin, WHO Pandemic Hub | PhD LSHTM | MSc ImperialCollege | Twitter: @BQuilty
@alxsrobert.bsky.social
Assistant Professor in Infectious Diseases Dynamics @ London School of Hygiene and Tropical Medicine; work on all things measles, especially interested in elimination and eradication of pathogens
@emprestige.bsky.social
(they/them) | PhD student at the London School of Hygiene & Tropical Medicine using Electronic Health Records (EHRs) to investigate health inequalities. Interested in infectious disease modelling, epidemiology and statistics
@mfschomaker.bsky.social
Heisenberg Professor for Biostatistics at the Department of Statistics, LMU München | causal inference - missing data - HIV michaelschomaker.github.io
@chrissyhroberts.bsky.social
(He/Him) | LSHTM Global Health Analytics | Researcher and Consultant in Mixed Methods Research for laboratory, field & computer | Inventor, Fundynamicist & Kindness Advocate Open to work
@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
@healthfoundation.bsky.social
We are an independent charitable organisation working to build a healthier UK. www.health.org.uk
@amsuffel.bsky.social
Epidemiologist and Postdoctoral Research Fellow at the London School of Hygiene and Tropical Medcine. Interested in electronic health records, vaccines, infectious diseases, mental health, statistics and open research. She/her
@jeremypb.bsky.social
Postdoctoral Research Fellow @causalab.bsky.social @hsph.harvard.edu
@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
@lshtm.bsky.social
News and expert comment from the London School of Hygiene & Tropical Medicine (LSHTM). Celebrating 125 years as one of the world's leading #PublicHealth universities. https://linktr.ee/lshtm
@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
@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
@timpmorris.bsky.social
Principal research fellow in statistical methods. Work on simulation studies, non-inferiority, missing data, estimands, covariate adjustment… He/him https://tpmorris.substack.com/ https://profiles.ucl.ac.uk/2059
@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/
@maartenvsmeden.bsky.social
statistician • associate prof • team lead health data science and head methods research program at julius center • director ai methods lab, umc utrecht, netherlands • views and opinions my own
@kaz-yos.bsky.social
Father in Training | #Rheumatology & Immunology Clinical Development | Pharmacoepidemiology | https://www.linkedin.com/in/kazyos/
@richarddriley.bsky.social
Professor of Biostatistics • BMJ Deputy Chief Stats Editor • Books: "Prognosis Research in Healthcare: concepts, methods & impact" & "IPD Meta-Analysis: A Handbook for Healthcare Research.." • Websites: www.ipdma.co.uk & www.prognosisresearch.com • Whovian
@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
@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
@matteoq21.bsky.social
Some Italian guy who lives in London and works on statistical methods in clinical trials for a living.
@fjrubio.bsky.social
Lecturer at the Department of Statistical Science of UCL. All opinions my own. 🇲🇽🇬🇧 https://sites.google.com/site/fjavierrubio67/ #rstats #JuliaLang #Bayesian #Statistics #Biostatistics
@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
@jonathan-bartlett.bsky.social
Biostatistician, London School of Hygiene & Tropical Medicine. Blogging at thestatsgeek.com
@bsky.app
official Bluesky account (check username👆) Bugs, feature requests, feedback: support@bsky.app