Jiaxin Zhang
Postdoctoral biostatistician @unimelb @MCRI_for_kids @vicbiostat | Interests: causal inference, missing data
@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
@lottameijerink.bsky.social
PhD student @ Julius Center, UMC Utrecht | causal inference 🤝clinical prediction
@arxiv-stat-me.bsky.social
Statistics -- Methodology (stat.ME) source: export.arxiv.org/rss/stat.ME maintainer: @tmaehara.bsky.social
@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/
@mfschomaker.bsky.social
Heisenberg Professor for Biostatistics at the Department of Statistics, LMU München | causal inference - missing data - HIV michaelschomaker.github.io
@mrcctu.bsky.social
We carry out innovative #ClinicalTrials and develop new #Methodology that has global impact, improving health worldwide. #MedSky #StatsSky
@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
@oxfordstatistics.bsky.social
We're the Department of Statistics at the University of Oxford (UK). We provide teaching & complete research on computational statistics and statistical methodology, probability, bioinformatics and mathematical genetics. https://www.stats.ox.ac.uk/
@statisticsucl.bsky.social
UCL Statistical Science was the first university statistics department in the world when founded in 1911. Methodological & applied statistics. Fun place to work https://www.ucl.ac.uk/statistics/
@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
@yalesph.bsky.social
Linking Science & Society | Official account of the Yale School of Public Health
@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
@eurocim.bsky.social
The European Causal Inference Meeting - causal inference in health, economic and social science.
@hsph.harvard.edu
Health, dignity, and justice for every human. This is the official account for #HarvardChan: hsph.harvard.edu
@suziecro.bsky.social
Senior Lecturer in Medical Statistics & Clinical Trials @ Imperial Clinical Trials Unit
@craigwpickett.bsky.social
Epidemiologist @CancerVic Teaching Epi, Regression Modelling/Survival @unimelbMSPGH M.Epi PhD Ex Sci Fmr.Olympic S&C Coach: Summer & Winter Games
@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/
@kelamb.bsky.social
Associate Professor and Co-Head of MISCH Biostatistics & Epidemiology Node at University of Melbourne, Australia. Passionate about #biostatistics, #consultancy, #communication and #mentoring. Love literature, theatre, gigs and horror movies.
@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
@nicolewhite.bsky.social
Biostatistician and Associate Professor at the Australian Centre for Health Services Innovation QUT 🇦🇺 She/Her Meta-research, infectious disease & acute care
@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
@matteoq21.bsky.social
Some Italian guy who lives in London and works on statistical methods in clinical trials for a living.
@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
@ruthkeogh.bsky.social
Professor of Biostatistics and Epidemiology at the London School of Hygiene & Tropical Medicine.
@jonathan-bartlett.bsky.social
Biostatistician, London School of Hygiene & Tropical Medicine. Blogging at thestatsgeek.com
@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
@myramcguinness.bsky.social
Biostatistician who nerds out on clinical and epidemiological ophthalmology. 🇦🇺
@tslumley.bsky.social
Biostatistician. Baritone. He/Him. Product of more than one country. May contain nuts.
@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
@julieasimpson50.bsky.social
Professor of Biostatistics, malaria researcher, Director of MISCH Hub and investigator of ACREME - views are my own
@mcri.bsky.social
Our team is dedicated to making discoveries to prevent and treat common and rare childhood conditions. Celebrating over 35 years of discovery since 1986.
@lizstuart.bsky.social
Statistician; Professor and Chair @JHUBiostat @JohnsHopkinsSPH, w/links to @SREESociety, @AmericanHealth. Oh, & spouse, mom, runner, traveler.
@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
@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
@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
@bsky.app
official Bluesky account (check username👆) Bugs, feature requests, feedback: support@bsky.app