ViCBiostat
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/
@jiaxinzhang.bsky.social
Postdoctoral biostatistician @unimelb @MCRI_for_kids @vicbiostat | Interests: causal inference, missing data
@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
@lachcribb.bsky.social
PhD student working on causal inference methods & dementia at Monash University. lachlancribb.netlify.app
@freyafowkes.bsky.social
Director, Centre of Epidemiology & Biostatistics, Head of Uni Melb MSPGH, Malaria & Infectious Disease Epidemiology, Burnet Institute, Chief Investigator, ACREME
@robjhyndman.com
Professor of Statistics, Monash University, Australia. Interested in #forecasting, #rstats, #statistics. he/him http://robjhyndman.com
@nicolewhite.bsky.social
Biostatistician and Associate Professor at the Australian Centre for Health Services Innovation QUT 🇦🇺 She/Her Meta-research, infectious disease & acute care
@ourworldindata.org
Research and data to make progress against the world’s largest problems. Based out of Oxford University (@ox.ac.uk), founded by @maxroser.bsky.social.
@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
@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
@thomasjaki.bsky.social
Professor of Statistics at University of Regensburg and University of Cambridge
@tslumley.bsky.social
Biostatistician. Baritone. He/Him. Product of more than one country. May contain nuts.
@ruthkeogh.bsky.social
Professor of Biostatistics and Epidemiology at the London School of Hygiene & Tropical Medicine.
@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
@vickersbiostats.bsky.social
Biostatistician at Memorial Sloan Kettering Cancer Center. Special interest in prostate cancer, risk prediction, patient-reported outcomes, decision-making.
@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
@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
@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
@jonathan-bartlett.bsky.social
Biostatistician, London School of Hygiene & Tropical Medicine. Blogging at thestatsgeek.com
@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
@mfschomaker.bsky.social
Heisenberg Professor for Biostatistics at the Department of Statistics, LMU München | causal inference - missing data - HIV michaelschomaker.github.io
@amjepi.bsky.social
Founded in 1920 and owned by Johns Hopkins Bloomberg School of Public Health.
@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
@lizstuart.bsky.social
Statistician; Professor and Chair @JHUBiostat @JohnsHopkinsSPH, w/links to @SREESociety, @AmericanHealth. Oh, & spouse, mom, runner, traveler.
@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
@jama.com
JAMA is an international peer-reviewed general medical journal and a member of the JAMA Network family of journals. 🔗 JAMA.com
@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.
@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/
@myramcguinness.bsky.social
Biostatistician who nerds out on clinical and epidemiological ophthalmology. 🇦🇺
@mrcctu.bsky.social
We carry out innovative #ClinicalTrials and develop new #Methodology that has global impact, improving health worldwide. #MedSky #StatsSky
@bmj.com
The BMJ is patient centred, evidence based, and independent. Help us improve the health of our world with the best science, journalism, education, and comment.
@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.
@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
@pcdoherty.bsky.social
Australian Nobel Laureate (Medicine 1996) know for discoveries re immune surveillance & viral immunity. As a science communicator he also advocates aggressive action re climate change & sustainability & has published 7 'lay' books on science.
@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.
@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
@mischhub.bsky.social
Hi, we're a team of multidisciplinary academics @unimelb who provide support in biostatistics and clinical epidemiology, health economics, co-design and consumer involvement, REDCap and clinical trials. www.clinicalresearch.mdhs.unimelb.edu.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.
@julieasimpson50.bsky.social
Professor of Biostatistics, malaria researcher, Director of MISCH Hub and investigator of ACREME - views are my own
@mdap-unimelb.bsky.social
We're an academic team of Research Data Specialists enabling data-intensive and data-informed research across disciplines @unimelb www.unimelb.edu.au/mdap
@therandomsample.bsky.social
A podcast that takes you inside the mathematical and data sciences and introduces you to some of the people involved, explores the work they’re doing, and shows the impact it’s having.
@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
@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