Tong Chen
@cttc101.bsky.social
46 followers 82 following 5 posts
Biostatistician @CEBU MCRI in Melbourne Australia Causal inference #causalsky + Causal machine learning + Design and analysis of complex sampling + #rstats tongchen.netlify.app
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Reposted by Tong Chen
Reposted by Tong Chen
austrim-cre.bsky.social
Join us at the 3rd biennial Australian Trials Methodology Conference as we explore "Better trials through better methods"

Crown Promenade, Melbourne (+ online access options)
20/11/25

Early-bird registration ends 26/9

www.atmc25.com
#ClinicalTrials #Biostatistics
AusTriM Conference flyer
Reposted by Tong Chen
Reposted by Tong Chen
myramcguinness.bsky.social
We are looking forward to hearing @jonathan-bartlett.bsky.social speak on the G-formula for causal inference using synthetic multiple imputation at the July @vicbiostat.bsky.social seminar!

All welcome online Thursday 24th, 4:00pm Aus EST (7:00am UK time).

www.vicbiostat.org.au/event/g-form...
G-formula for causal inference using synthetic multiple imputation
G-formula is a popular approach for estimatin
www.vicbiostat.org.au
Reposted by Tong Chen
profjamescurran.bsky.social
For those of you who don't know what Ross and Robert look like..a couple of photos from my collection. I'm sure I have better ones somewhere. The BW is from 1994 when our department formally became separate from Mathematics.
Ross Ihaka - Coinventor of R Ross Ihaka and Robert Gentleman circa 1994
Reposted by Tong Chen
mehr.nz
samuel mehr @mehr.nz · Dec 14
it's wild that R, the ubiquitous statistical computing language, was co-created by a Māori prof (Ross Ihaka) — and yet the vast majority of scientists who use R don't know

this is like inventing the toaster. possibly the largest impact of a single member of an indigenous community on modern science
Reposted by Tong Chen
margaritamb.bsky.social
1/ NEW R PACKAGE! For estimating the impact of potential interventions on multiple mediators in countering exposure effects (led by @cttc101.bsky.social)

- Paper👉 tinyurl.com/ye26jsps
- Package👉 tinyurl.com/yuh4kens

Thread shows published examples of how the method can be used! #EpiSky #CausalSky
tinyurl.com
Reposted by Tong Chen
arxiv-stat-me.bsky.social
Zhehao Zhang, Thomas S. Richardson
Individual Treatment Effect: Prediction Intervals and Sharp Bounds
https://arxiv.org/abs/2506.07469
Reposted by Tong Chen
margaritamb.bsky.social
NOW PUBLISHED! Featured article + 6 Commentaries + Rejoinder: “On the Uses and Abuses of Regression Models: A Call for Reform of Statistical Practice and Teaching” with my colleague John Carlin
tinyurl.com/2z2tmkhh
@cebu-melbourne.bsky.social @vicbiostat.bsky.social #EpiSky #CausalSky #StatsSky
Rejoinder to Commentaries on: On the Uses and Abuses of Regression Models: A Call for Reform of Statistical Practice and Teaching
Click on the article title to read more.
onlinelibrary.wiley.com
Reposted by Tong Chen
cttc101.bsky.social
Happy birthday Cam!
Reposted by Tong Chen
Reposted by Tong Chen
tslumley.bsky.social
I'm giving two short courses at the (online) Summer Institute run by the Biostat dept in Seattle

As usual, on complex surveys and R: si.biostat.washington.edu/institutes/s...

New! with Pam Shaw, on two-phase designs in health research
si.biostat.washington.edu/institutes/s...
Analyzing Data from Complex Surveys | Summer Institutes
si.biostat.washington.edu
Reposted by Tong Chen
mickael.canouil.fr
Streamline your workshops with GitHub Codespaces & Quarto (@posit.co) !

Skip setup headaches and dive into live, interactive sessions that make teaching a breeze.
Discover how in our latest guide.

quarto.org/docs/blog/po...

#GitHubCodespaces #Quarto #Python #JuliaLang #RStats #Workshop
How to use GitHub Codespaces to simplify your Quarto workshops – Quarto
In this post, I’ll teach you the basics of GitHub Codespaces and how to use them to make it easier to teach using Quarto.
quarto.org
Reposted by Tong Chen
apoorvalal.com
I had a hard time believing it was as simple as this until Lars taught me how to implement it - calibrate=True and you're done

github.com/apoorvalal/a...
Reposted by Tong Chen
tslumley.bsky.social
Young people wonder how biostat and econometrics ended up with parallel, non-intersecting literature on so many topics.

Imagine if the library copies of, say, Econometrica and Biometrika were only accessible in different buildings, potentially on different campuses
Reposted by Tong Chen
user-conf.bsky.social
We are grateful to have Simon Urbanek as a keynote speaker for useR! 2025. He is a member of the R core team, working on the maintenance of R for MacOS, creating binaries. He is an Associate Professor at The University of Auckland Department of Statistics.

Register: user2024.r-project.org
#RStats
Headshot of Simon Urbanek, keynote speaker for useR! 2025 along with details on his talk.
Reposted by Tong Chen
ghazalehd.bsky.social
📢 New Commentary: We discuss how analytic choices impact interpretation of studies on socioeconomic health inequities. We review 1) descriptive analogues of causal estimands (à la Young et al) with competing events; 2) timescale choice; and 3) covariate adjustment.
👉 academic.oup.com/aje/advance-...
Invited commentary: Descriptive social epidemiology: putting the question before the methods
Abstract. In studies describing socioeconomic inequities in health outcomes, the choice of estimand and the planned analytic approach are central to the in
academic.oup.com
cttc101.bsky.social
Thrilled to share our new preprint on causal ML for mediation analysis! We introduce causal ML estimators for interventional effects explicitly mapped to target trials assessing hypothetical interventions inducing distinct shifts in joint mediator distributions📊 📈🧪
#CausalSky #EpiSky
paperposterbot.bsky.social
link 📈🤖
Causal machine learning for high-dimensional mediation analysis using interventional effects mapped to a target trial (Chen, Vansteelandt, Burgner et al) Causal mediation analysis examines causal pathways linking exposures to disease. The estimation of interventional effects, which are me
Reposted by Tong Chen
cebu-melbourne.bsky.social
📊 Observational Studies: Modern Concepts & Analytic Methods
✍️This course provides a comprehensive introduction to key concepts for observational studies in clinical and health research
📅 Next online iteration: 19–23 May from 9 AM-1PM each day
🔗https://shorturl.at/CYDUB
Reposted by Tong Chen
margaritamb.bsky.social
Recording of my talk @causalab.bsky.social on using m-DAGs to guide the treatment of missing data now available 👇 #EpiSky #CausalSky
causalab.bsky.social
Check out the last Methods Series talk now on YouTube:
youtu.be/QuQnZ4don54?...
causalab.bsky.social
2 weeks away!

@margaritamb.bsky.social (Murdoch Children's Research Institute, University of Melbourne) continues the 2025 Methods Series @ki.se.

📆 April 22, 2025
⏰ 13.00 CEST/7.00 ET
📍 All Methods Series talks virtual

Register now 👇
stats.sender.net/forms/e7JD1d...
#publichealth #causalinference