#CausalInference
Congratulations to Dr. Robert Colin Carter on his publication in Statistics in Medicine! “Two-Stage Estimation for Causal Inference Involving Semi-Continuous Exposures”
#research #biostatistics #causalinference #pediatrics #emergencymedicine

Read it here: pubmed.ncbi.nlm.nih.gov/42951587/
November 2, 2026 at 9:29 PM
October 29, 2026 at 6:51 PM
🎉 JOB ALERT! [Please share! 🙏]

Are you interested in # CausalInference 📈, observational data 🗺️, and #ecology? 🦋 🦌

Research Fellow in Causal Inference & Ecology
Uni. of Southampton
www.jobs.ac.uk/job/DTL749/r...

Start date: 01/02/2027
Fixed Term: 2.5 years
More sites.google.com/view/treelab...
LinkedIn
This link will take you to a page that’s not on LinkedIn
lnkd.in
October 30, 2026 at 11:16 AM
My newest #Rstats package, {bartisan}, was accepted by CRAN today! {bartisan} implements Bayesian Additive Regression Trees (BART), a machine learning method that has the benefits of Bayesian posterior inference and automatic regularization.

#statssky #episky #causalinference #ML
bartisan: Generalized Bayesian Additive Regression Trees
Fits Bayesian additive regression trees (BART) models for likelihoods outside the conditionally conjugate Gaussian case, using the Laplace-approximation reversible-jump sampler of Linero (2025) &lt;<a...
cran.r-project.org
October 28, 2026 at 6:22 PM
5. The Inbetween Time: Examining the Federal Government's Unaccompanied Alien Child Program (Kira Woodhouse, Northeastern)

Hope to see you there!

#OperationsResearch #OperationalGovernance #PublicSector #CausalInference #AIGovernance
November 1, 2026 at 7:10 PM
October 29, 2026 at 6:51 PM
#statstab #680 Advanced DiD: Violations of Parallel Trends

Thoughts: A strong assumption to make and test.

#DiD #observational #causalinference #assumptions #tutorial #guide

github.com/Mixtape-Sess...
Advanced-DID/Slides/03-violations.pdf at main · Mixtape-Sessions/Advanced-DID
Advanced Differnce-in-Differences Mixtape Track taught by Jonathan Roth - Mixtape-Sessions/Advanced-DID
github.com
October 30, 2026 at 7:15 PM
“In general, causes provide more robust ways of forecasting events than do correlations.”

#BookSky #Books #CausalInference #DataScience #PredictiveAnalytics
October 27, 2026 at 9:07 PM
coresynth: Fast, unified synthetic control methods for R ⚡

Replicating Abadie et al. (2010) CA Prop 99 model: 4.3s down to 0.06s (~70× faster) compared to Synth. Full 39-state placebo test runs in 2.4s instead of ~2.8 mins!

Available on CRAN 📦
github.com/yo5uke/cores...
#rstats #CausalInference
October 30, 2026 at 11:14 AM
New research shows AI agents like Claude Code can sway expert judgment on high‑stakes decisions, exposing hidden decision bias. How does causal inference fit into AI‑assisted workflows? Dive in to see the alignment challenges. #AIAgents #CausalInference #AIAlignment

🔗
October 28, 2026 at 8:19 AM
Confounding can distort observational effects. Use a DAG to choose adjustment variables; check propensity-score overlap and balance before estimating effects.
#CausalInference #R

Full details and registration in the first reply.
October 27, 2026 at 10:26 PM
October 25, 2026 at 9:13 PM
Wednesday at 12 noon: Abhinandan Dalal presents “Partial Identification of Causal Effects for Endogenous Continuous Treatments” at this week’s #AppliedStatistics Workshop.

www.iq.harvard.edu/event/abhina...

#CausalInference #Statistics
Abhinandan Dalal (Applied Stats Workshop) | The Institute for Quantitative Social Science
Breadcrumbs
www.iq.harvard.edu
October 27, 2026 at 10:45 PM
#statstab #644 The Causal Mediation Formula – A Guide to the
Assessment of Pathways and Mechanisms

Thoughts: I have no opinions to share on this.

#mediation #causalinference #totaleffect #indirecteffect #moderation #modelling

ftp.cs.ucla.edu/pub/stat_ser...
ftp.cs.ucla.edu
October 22, 2026 at 6:13 PM
2 weeks away!

Goodarz Danaei @hsph.harvard.edu presents the online talk “Counterfactual and Transportable CVD Risk Prediction.”

📆 Nov 3, 2026
⏰ 15.00 CET/9.00 EST
📍 Online

Register to attend online:
stats.sender.net/forms/e7JD1d...
#causalab #causalinference #harvardchan #harvard
October 20, 2026 at 8:52 PM
Excited to host Sebastien Haneuse (UC Irvine) this Wednesday, Oct 21, for our UCLA Biostatistics Seminar!

He will present "Double Sampling and Semiparametric Methods for Informatively Missing Not at Random Data".

See flyer for the full abstract.
#Biostatistics #CausalInference #MissingData
October 17, 2026 at 7:08 PM
Finally arrived #causalinference
October 15, 2026 at 5:48 PM
Learn AI for Clinical Reasoning and Diagnosis (Free Seminar) at your own pace!

#ArtificialIntelligence #Biomedicine #CausalInference #ComputerScience #DataAnalytics #DataScience #HealthSciences #ClinicalorLaboratoryScience #Medicine #Ethics #InformationScience #BiomedicalEngineering #Statistic
AI for Clinical Reasoning and Diagnosis (Free Seminar) - On-Demand
How can AI support clinical reasoning without sacrificing rigor, transparency, or patient safety? Join our online seminar for PhD students and professional researchers to explore how laboratory results, EHR data, and large language models can be combined to generate clinically plausible diagnostic hypotheses and patient-facing explanations. Through practical work with causal graphs, counterfactual evaluation, temporal data, reproducible pipelines, and clinically meaningful metrics, you’ll gain strategies for assessing model performance, robustness, and explanation fidelity—and for shaping findings into publishable research with translational impact. Attend live via Zoom or learn asynchronously: seminar recordings and materials, plus access to an expert-moderated Q&A forum, are available for 30 days after the seminar. Participants receive an official Instats certificate of completion. #ArtificialIntelligence #Biomedicine #CausalInference #ComputerScience #DataAnalytics #DataScience #HealthSciences #ClinicalorLaboratoryScience #Medicine #Ethics #InformationScience #BiomedicalEngineering #Statistics #Bioinformatics #Research #ResearchTraining #Instats
instats.org
October 17, 2026 at 11:04 PM
#statstab #637 Evaluate What Is Claimed to Be Confirmed: Initial Version of a Falsification Assessment Form (FAF)

Thoughts: This seems like a faf🙃

#falsification #nhst #hypothesis #hypothesistesting #assumptions #causalinference
#OpenScience #auxiliary

meth.psychopen.eu/index.php/me...
Evaluate What Is Claimed to Be Confirmed: Initial Version of a Falsification Assessment Form (FAF)| Methodology
meth.psychopen.eu
October 14, 2026 at 10:59 AM
Great work by my PhD student @manchester.ac.uk , Kritchavat Ploddi, on this publication! 👏, and thanks to my fellow supervisors @mattsperrin.bsky.social & @glenmartin.bsky.social

📄 doi.org/10.1186/s415...

#ClinicalPredictionModels #Generalisability #Transportability #DataShift #CausalInference
October 9, 2026 at 9:38 PM
in addition to showing how solitary animals incur costs so their offspring benefit from social play it features an integration of #causalinference and hierarchical dyadic social relations network modeling to highlight how individuals and kin-dyads navigates the costs of social behavior
October 7, 2026 at 7:03 AM
October 6, 2026 at 5:19 PM
Call for #AAG2027 abstracts! 🗺️📊

Obsessed with geospatial data and causality? Join our session on Causal Inference in the Geospatial Context!

We welcome methods, applications, and challenges. Details below 👇
lnkd.in/g9up2ycF

#AAG #GeoAI #GIScience #RemoteSensing #SpatialData #CausalInference
LinkedIn
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lnkd.in
October 6, 2026 at 7:38 PM
Why Machine Learning Can't Answer 'What If?'

Machine learning can predict with stunning accuracy and still mislead about cause and effect. See how causal inference separates predi...

https://blog.scienceye.com/why-machine-learning-cant-answer-what-if/

#causalinference #causality #confounding #co…
October 1, 2026 at 10:25 PM