Tong Chen
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cttc101.bsky.social
Tong Chen
@cttc101.bsky.social
Statistician @CEBU MCRI in Melbourne Australia
Causal inference #causalsky + Causal machine learning + Design and analysis of complex sampling + #rstats
tongchen.netlify.app
Reposted by Tong Chen
I’ve been thinking about how to find R packages by functionality when you don’t already know the package name.

So over the holidays, Claude Code and I built The Warehouse: a functionality-first R package directory that helps you find packages by what they do.
rwarehouse.netlify.app

#rstats
The Warehouse
rwarehouse.netlify.app
January 27, 2026 at 3:12 PM
Reposted by Tong Chen
Do predictive models need to be causal?
notstatschat.rbind.io/2026/01/26/d...
Do predictive models need to be causal? - Biased and Inefficient
notstatschat.rbind.io
January 26, 2026 at 1:12 AM
Reposted by Tong Chen
#rstats blogdown/netlify users: you might have received an email saying your site will go away because something something prerendering.

If you go to the check link in the *comments* of the linked page (not the one in the text) it will likely tell you there's no problem because your site is static🎉
January 6, 2026 at 9:01 PM
Reposted by Tong Chen
Please feel free to follow this bot along with @paperposterbot.bsky.social for the full range of economics paper on Arxiv.org
January 6, 2026 at 10:44 PM
Reposted by Tong Chen
@lshtm.bsky.social will be running a 3-day online short course on using multiple imputation to handle missing data on 23-25th June 2026. Teaching staff include James Carpenter, Ruth Keogh, Clémence Leyrat, and myself. Further details about the course at www.lshtm.ac.uk/study/course...
Statistical Analysis with Missing Data Using Multiple Imputation | LSHTM
www.lshtm.ac.uk
January 6, 2026 at 9:37 AM
Reposted by Tong Chen
Start the year well by registering for the ViCBiostat Summer School 😊 👉 www.trybooking.com/events/landi...
January 6, 2026 at 4:52 AM
Reposted by Tong Chen
Have you got a PhD in Statistics (or related field) and experience in Statistical Consulting? A continuing position at the Australian National University is now open 🇦🇺🦘🐨.

Would love to get an #rstats person if possible ☺️

Apply by 18 Jan 👉 jobs.anu.edu.au/jobs/course-... #statssky #statsky
Course Coordinator - Canberra / ACT, ACT, Australia
Classification: Academic Level BSalary package: $121,598 – 137,870 per annum plus 17% superannuation Terms: Full-time, Continuing (flexible arrangements, job share, or part time hours will be consider...
jobs.anu.edu.au
December 19, 2025 at 4:08 AM
ViCBiostat Summer School: Register now below so you don’t miss out on e.g. Eric Tchetgen Tchetgen’s causal inference course covering a range of topics in “quasi-experimental” approaches: difference-in-differences, instrumental variables, synthetic controls etc. #EpiSky #CausalSky
🚨 Registrations now open! 🚨
The ViCBiostat Summer School (Feb 13–20, 2026) is a fantastic opportunity to learn from leading local & international experts in causal inference, estimands, meta-analysis, and cluster RCTs.

📍 Melbourne / Online

Links below 👇
December 17, 2025 at 7:39 AM
Reposted by Tong Chen
Incredibly honoured to receive the Rising Star Award at MCRI Staff Awards ✨ Thank you to my mentors, especially @margaritamb.bsky.social for championing the nomination, and to colleagues and collaborators @mcri.bsky.social who nominated me. Grateful to be part of such a supportive community 💛
December 4, 2025 at 1:37 PM
Reposted by Tong Chen
Registrations now open for the ViCBiostat Summer School - Feb 13-20, 2026 (Melbourne/online)!

Features courses by local & international experts in causal inference, estimands, meta-analysis and cluster RCTs

Info: www.vicbiostat.org.au/short-courses
Register: www.trybooking.com/events/landi...
Mark your diaries! The ViCBiostat Summer School returns from 13-20 Feb 2026, in Melbourne and online.
Courses include causal inference, cluster randomised trials, meta-analysis and the estimand framework.
Further details TBA shortly - sign up to our mailing list at www.vicbiostat.org.au
#statistics
December 4, 2025 at 6:32 AM
Reposted by Tong Chen
For the avoidance of doubt: does svyglm() use robust standard errors? Yes!
notstatschat.rbind.io/2025/12/01/d...
Does svyglm use robust standard errors? - Biased and Inefficient
notstatschat.rbind.io
December 1, 2025 at 7:20 AM
Reposted by Tong Chen
This week! Prof Ian Marschner from the NHMRC Clinical Trials Centre will be presenting the @vicbiostat.bsky.social seminar on Confidence distributions.

All welcome online or in person.

Friday 21 November 9:30am AEDT, Monash SPHPM.

www.vicbiostat.org.au/event/confid...
Confidence distributions: new tools to design, adapt and analyse clinical trials
Confidence distributions provide a holistic s
www.vicbiostat.org.au
November 16, 2025 at 9:54 PM
Reposted by Tong Chen
Double machine learning fits an adjustment model from a confounder set using correlation and so breaks down when offered variables that have good correlation just *because* they aren't suitable adjustment variables
#IWouldSimplyNotIncludeEndogenousVariables
November 14, 2025 at 9:39 PM
Reposted by Tong Chen
@bsky.app ISSUE 4 IS OUT! with 3 survey methods and 2 statistics articles. We've got a backlog of 20 accepted articles -- some in preprint now -- but we're seeking more manuscripts for 2026, especially stat papers. So please consider submitting your next manuscript to JSSAM. #AAPOR
November 12, 2025 at 11:17 PM
Reposted by Tong Chen
#ViCBiostat Summer School 13-20 Feb 2026

#Causal inference
#Estimands in trials
#Cluster randomised trials
Advanced #meta-analysis

In Melbs and online.
More details to come.
www.vicbiostat.org.au
November 12, 2025 at 4:12 AM
Reposted by Tong Chen
Another great ViCBiostat summer school to look forward to! I can promise a couple of excellent days on cluster randomised trials from the Cluster Cluster... with a couple of extra special guests soon to be announced!
Mark your diaries! The ViCBiostat Summer School returns from 13-20 Feb 2026, in Melbourne and online.
Courses include causal inference, cluster randomised trials, meta-analysis and the estimand framework.
Further details TBA shortly - sign up to our mailing list at www.vicbiostat.org.au
#statistics
November 12, 2025 at 4:40 AM
Reposted by Tong Chen
☕🥐 One week to go! Don’t miss the Australian Trials Methodology Conference on 20 Nov — your dose of fresh ideas in clinical trial design!

Come early for the Career Development Breakfast to start your day right with coffee, croissants & career chat!

👉 Full program: bit.ly/4qM3HKp
#atmc25
bit.ly
November 9, 2025 at 11:24 PM
Reposted by Tong Chen
Strengthen your research skills in observational studies!

📅 27–31 Oct 2025 | 💻 Online via Zoom
Reduced rates available for selected participants- more details and registration👇
🔗 www.mcri.edu.au/research/res...
Observational Studies: Modern concepts & analytic methods - Murdoch Children's Research Institute
www.mcri.edu.au
August 28, 2025 at 3:32 AM
Reposted by Tong Chen
Statisticians of Melbourne and environs!
I will be giving a talk (the Belz Lecture) next Monday, 2pm, Melbourne Uni.

The title is "Laws and Orders"

The lecture is free but they want you to sign up. There's also an early career stats showcase with lunch that costs
www.statsoc.org.au/event-6288035
October 21, 2025 at 7:09 AM
This week! Don’t miss Prof Eric Tchetgen Tchetgen’s @vicbiostat.bsky.social seminar on proximal causal inference!
October 20, 2025 at 10:57 PM
Reposted by Tong Chen
Join the October @vicbiostat.bsky.social seminar to hear Prof Eric Tchetgen Tchetgen speak on proximal causal inference.

All welcome online 23 October.

More info:
www.vicbiostat.org.au/event/fortif...

#casualinference #biostatistics @upenncgh.bsky.social
Fortified Proximal Causal Inference with many imperfect negative controls
Abstract: Causal inference from observational
www.vicbiostat.org.au
October 7, 2025 at 11:38 PM
Reposted by Tong Chen
NEW PAPER!!! "Causal Machine Learning Methods and Use of Cross‐Fitting in Settings With High‐Dimensional Confounding"

led by Susie Ellul, with Stijn Vansteelandt & John Carlin
Published in Stats in Med

Check it out 👇
onlinelibrary.wiley.com/doi/10.1002/...

#EpiSky #CausalSky
Causal Machine Learning Methods and Use of Cross‐Fitting in Settings With High‐Dimensional Confounding
Observational epidemiological studies commonly seek to estimate the causal effect of an exposure on an outcome. Adjustment for potential confounding bias in modern studies is challenging due to the p...
onlinelibrary.wiley.com
September 25, 2025 at 2:35 AM
Reposted by Tong Chen
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
September 15, 2025 at 3:59 AM
Reposted by Tong Chen
NEW PAPER! (in press in EPIDEMIOLOGY)

Have you wondered:
- How to specify a target trial: as an ideal trial or something else?
- What biases do target trial emulations and actual RCTs share?
- How does it all relate to potential outcomes?

Read here! 👉 arxiv.org/abs/2405.10026
#EpiSky #CausalSky
The ideal trial: defining causal estimands that balance relevance and feasibility in target trial emulations and actual randomized trials
Causal inference is the goal of randomized trials and many observational studies. The first step in a formal causal inference framework is to define the causal estimand, and in both types of study thi...
arxiv.org
September 9, 2025 at 11:23 PM
Reposted by Tong Chen
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
July 23, 2025 at 2:04 AM