Tong Chen
Biostatistician @CEBU MCRI in Melbourne Australia
Causal inference #causalsky + Causal machine learning + Design and analysis of complex sampling + #rstats
tongchen.netlify.app
@profjamescurran.bsky.social
Statistician, Forensic Scientist, Road Cyclist, Gamer. Slecht Nederlands spreker. #rstats, Statistical Computing
@pdalgd.bsky.social
Statistics in general, #rstats in particular (Core team member). Professor at CBS w/biostats background. Likes cooking and bicycling and socialising in general. Oh, and music: Opera, Jazz, ProgRock.
@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
@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/
@edwardhkennedy.bsky.social
assoc prof of statistics & data science at Carnegie Mellon https://www.ehkennedy.com/ interested in causality, machine learning, nonparametrics, public policy, etc
@aucklanduni.bsky.social
Official account for the University of Auckland | Waipapa Taumata Rau, posting updates about research, news and events.
@jssam.bsky.social
The Journal of Survey Statistics and Methodology publishes cutting-edge scholarly articles on statistical and methodological issues for sample surveys and related data systems. See more here: https://academic.oup.com/jssam
@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.
@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
@tslumley.bsky.social
Biostatistician. Baritone. He/Him. Product of more than one country. May contain nuts.