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

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

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

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...

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.

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

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

Zhehao Zhang, Thomas S. Richardson Individual Treatment Effect: Prediction Intervals and Sharp Bounds https://arxiv.org/abs/2506.07469

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

How hazard ratios can mislead and why it matters in practice. Elise Dumas, Mats J. Stensrud. European Journal of Epidemiology. link.springer.com/article/10.1...

Yang Hansen may not have been on the radar for some, but his tall frame quickly caught the eye of many as he made his way toward the NBA draft stage.

Quack quack! "duckplyr fully joins the tidyverse!" Like a duck to water 😉 www.tidyverse.org/blog/2025/06... #RStats

I'm giving a midnight seminar for IASS next Wednesday night isi-iass.org/home/events/... From their point of view it's just nicely after lunch: 2pm in CEST

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...

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

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...

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

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

📢 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-...

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

📊 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

Recording of my talk @causalab.bsky.social on using m-DAGs to guide the treatment of missing data now available 👇 #EpiSky #CausalSky

Enjoying reading a bit about "Double Machine Learning" methods for semiparametric inference (particularly impressive once you account for the state that I don't currently have a direct interest in the usual applications). Very cool stuff.

Really nice new paper by Jingyu Zhang, Oliver Lüdtke, and Alexander Robitzsch on the performance of doubly robust estimators of the ATE. A great example of clear writing and reporting, useful visualization through tables, and a review of modern literature. osf.io/5uj2f_v2

link 📈🤖 Covariate Adjustment in Randomized Experiments Motivated by Higher-Order Influence Functions () arXiv:2411.08491v1 Announce Type: new Abstract: Higher-Order Influence Functions (HOIF), developed in a series of papers over the past twenty years, is a fundamental theoretical device for con

Looking forward to speaking at the CAUSALab methods seminar series next week! 👇

Over the moon to have received the Moran Medal from the Australian Academy of Science!🥳 Amazing recognition, hopefully highlighting the key role of biostats & causal inference in high-quality research vimeo.com/1065735362 tinyurl.com/2m3dx2ms @cebu-melbourne.bsky.social @vicbiostat.bsky.social

link 📈🤖 Survey calibration for causal inference: a simple method to balance covariate distributions () This paper proposes a simple method for balancing distributions of covariates for causal inference based on observational studies. The method makes it possible to balance an arbitrary number of

📣 📣NEW PAPER providing guidance on best practice for using multiple imputation when estimating interventional mediation effects, considering missingness mechanism, multiple imputation model specification, & variance estimation #CausalSky #EpiSky Read more 👇🏽 journals.lww.com/epidem/abstr...

"Using missingness directed acyclic graphs (m-DAGs) to guide the treatment of multivariable missing data in epidemiological studies" Don't miss the next #CIIG seminar with @margaritamb.bsky.social on 7th April 2025 at *9am* BST! Register at: turing-uk.zoom.us/meeting/regi... #EpiSky #CausalSky

🎉 Our VERY FIRST newsletter is here! 📬Use the link to access it and learn more about our group and the work/activities we do: shorturl.at/bzmio @vicbiostat.bsky.social

Okay #rstats and #pydata folks: What’s your favorite font? Mine is Roboto Condensed. fonts.google.com/specimen/Rob...

‼️ New blog post! I discuss the benefits of developing C/C++ code for R with the new #Positron IDE (from @posit.co) and provide functions to add to your user profile to automate some current pain points away! Developing C/C++ code for R with Positron Link: www.tylermw.com/posts/coding... #RStats

I wrote a thing about coupling streams of random numbers: "the same" number with different parameters notstatschat.rbind.io/2025/03/04/c...

@lionelhenry.bsky.social and I are so excited to finally announce Air - an extremely fast R code formatter! 🎉 With Air, you'll never need to worry about styling your #rstats code ever again. All you need to do is save, and Air takes care of the rest. www.tidyverse.org/blog/2025/02...

Thrilled to have received this funding for my causal inference research program - with my amazing team we shall continue to advance methods and provide expertise in this key area for another 5 years!!! 🥳☺️ #CausalSky #EpiSky

From twitter: A short thread: It amazes me how many crucial ideas underlying now-popular semiparametrics (aka doubly robust parameter/functional estimation / TMLE / double/debiased/orthogonal ML etc etc) were first proposed many decades ago. I think this is widely under-appreciated!

Our research methods and software training course timetable for 2025 is out! check it out here 👇 www.mcri.edu.au/research/res...

Bare Essentials - Hawke's Bay, NZ. This is one of the images displayed at my Fog and Light exhibition currently at Creative Arts Napier. #photography #landscape #nz

We did a thing: arxiv.org/abs/2412.15012 Lots of simulations comparing various missing confounder approaches in a drug-safety problem. Not comprehensive, of course, but a honest effort by a group of people with different expertise and preferences for the results. (funded by FDA SENTINEL)

NOW PUBLISHED! Correction to: “Canonical causal diagrams to guide the treatment of missing data in epidemiologic studies" doi.org/10.1093/aje/... Grateful to have had the opportunity to correct our paper translating missingness DAGs (m-DAGs) into epidemiological practice #CausalSky #EpiSky

NEW COMMENTARY in Epidemiology on causal estimands in studies of pre-diagnostic exposures and cancer survival #EpiSkye #CausalSky journals.lww.com/epidem/citat...

Thrilled to share our new paper! We introduce a generalized autoDML framework for smooth functionals in general M-estimation problems, significantly broadening the scope of problems where automatic debiasing can be applied!

Hot off the press! 📣📣In this tutorial we illustrate available multiple imputation approaches for handling longitudinal data including when they are clustered within higher level clusters. A reproducible example with R and Stata code provided! #OpenAccess onlinelibrary.wiley.com/doi/10.1002/...

WORKSHOPS! On causal inference, missing data and SMARTs, part of the ViCBiostat Summer School (10-14 Feb, hybrid). For more details & registration visit: www.vicbiostat.org.au/short-courses #CausalSky #EpiSky

Recording of the great #WCE2024 DAG debate now available!👇 I feel compelled to say: 1. I was assigned my side - everyone knows I love DAGs, especially missingness DAGs! 2. But also, debate was NOT “are u for/against DAGs” even if Peter made it seem so - he’s a great debater! #CausalSky #EpiSky

#rstats and #QuartoPub PSA: @vincentab.bsky.social's {tinytable} is the absolute best table making package out there for LaTeX output (it natively supports tabularray!), and it's phenomenal for HTML. It has fully replaced {gt} and {kableExtra} for me vincentarelbundock.github.io/tinytable/