#causalinference
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causalab.bsky.social
Save the dates! 📌

CAUSALab's Summer Courses on Causal Inference return June 2026. Course information and registration details to be announced in the coming weeks.

Join our 2025-2026 listserv to receive updates first:
harvard.az1.qualtrics.com/jfe/form/SV_... #causalinference #epidemiology
Save the Dates - CAUSALab Summer Courses 2026. Week 1: June 8-12,2026. Week 2: June 15-18, 2026.
October 29, 2025 at 7:18 PM
mzloteanu.bsky.social
#statstab #446 {causaldata} Packages of Example Data for The Effect

Thoughts: On your journey to learning Causal Inference you can use some nice datasets to figure out how horrible it can all go.

#causalinference #observational #python #r #DAG #OS

github.com/NickCH-K/cau...
GitHub - NickCH-K/causaldata: Packages of Example Data for The Effect
Packages of Example Data for The Effect. Contribute to NickCH-K/causaldata development by creating an account on GitHub.
github.com
October 27, 2025 at 5:33 PM
dszlosek.bsky.social
This paper’s been popping as “evidence” that you can’t do real #causalinference w/ obs data. To me it shows you need rigorous pre-specified design (in addition to the willingness to fold when your hypothesis is not possible to answer with the data at hand). #EpiSky, #CausalSky, #AcademicSky
October 22, 2025 at 2:59 PM
theramseylab.bsky.social
Correlation isn’t causation, as the mantra goes—but statistical noise in correlational data can reveal causal information. When X and Y are causally linked, their noise tends to be asymmetric & this can guide #CausalInference. Check out our 📃👇 doi.org/10.1111/nous... #philsky #philsci #StatsSky #HPS
Screenshot of the first page of a Noûs article titled “Causal Inference from Noise.” Authors: Nevin Climenhaga (Australian Catholic University), Lane DesAutels (Missouri Western State University), and Grant Ramsey (KU Leuven). The citation details read: Noûs 55:1 (2021), pages 152–170, DOI: 10.1111/nous.12300.
October 21, 2025 at 9:20 AM
mzloteanu.bsky.social
#statstab #434 Exposing omitted moderators: Explaining why effect sizes differ in the social sciences

Thoughts: Maybe our models are too simple to makdle the generalisable claims we want.

#bias #moderator #causalinference #heterogeneity #effect

doi.org/10.1073/pnas...
Exposing omitted moderators: Explaining why effect sizes differ in the social sciences | PNAS
Policymakers increasingly rely on behavioral science in response to global challenges, such as climate change or global health crises. But applicat...
doi.org
October 9, 2025 at 7:19 PM
alxndrmlk.bsky.social
He did it before Double Machine Learning

I met with professor Mark van der Laan because I think his work is pretty incredible and it sometimes feels like a secret that only a few people know about, especially in industry.

1/

#CausalSky #StatSky #CausalInference
September 12, 2025 at 8:29 AM
dudney-joan.bsky.social
Super awesome new paper in #MEE describing #causal #detection of shifts in #biodiversity! So many great insights here—a must read for those interested in #causalinference

And love Fig 3! Congrats team! @lsantinieco.bsky.social

doi.org/10.1111/2041...
DAGs showing confounding, mediator and collider variables
September 11, 2025 at 9:09 AM
allentien.bsky.social
#Prediction requires experience and knowledge-based specification of the questions

#CausalInference or #CounterfactualReasoning requires expert specification of...
January 11, 2025 at 11:12 PM
allentien.bsky.social
#Prediction requires expert specification of the questions

#CausalInference or #CounterfactualReasoning requires expert specification of...
January 11, 2025 at 7:52 PM
brunoarpino.bsky.social
And... it's just as common to receive bad suggestions from reviewers about bad controls :)

#causalinference
#badcontrols
#moreisnotalwaysbetter
February 11, 2025 at 9:21 AM
allentien.bsky.social
#Prediction requires expert specification of the questions

#CausalInference or #CounterfactualReasoning requires expert specification of...
January 21, 2025 at 11:55 PM
allentien.bsky.social
#Prediction requires expert specification of the questions

#CausalInference or #CounterfactualReasoning requires expert specification of...
January 4, 2025 at 4:11 AM
mwypych.bsky.social
Does anyone know of good materials on suppression from #causalinference perspective? Papers about suppression usually say only about predictive power. And I think some of the stuff in McElreath's lectures (esp. lecture 6) suggests adding suppressors would bias stuff? I'm confused
#rstats #stats
March 4, 2025 at 12:24 PM
athul.bsky.social
More recently I have been looking at the marriage between #CausalInference & Psychometric Modeling. I also build & publish #OpenSource #JuliaLang packages to support my research. #EdPsych #CausalInf.
November 7, 2023 at 6:48 PM
kenkoonwong.bsky.social
what is your take on the definition of proxy variable?

Is it X = X* + e, .....OR..... X* = X + e ? whereby X is measured/observed, and X* is latent/unobserved , e is noise.

#causalsky #econsky #causalinference
November 9, 2024 at 4:43 PM
rnjma.bsky.social
Both observational cohort studies and target trial emulations use observational (non-experimental) data. A target trial can even be nested within an observational cohort study to estimate causal effects while preserving the cohort’s descriptive value. #EpiMethods #CausalInference
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February 1, 2025 at 11:22 AM
allentien.bsky.social
#Prediction requires expert specification of the questions

#CausalInference or #CounterfactualReasoning requires expert specification of...
January 24, 2025 at 2:25 PM
jounihelske.bsky.social
I will discuss Bayesian causal inference for panel data using R package dynamite in StanCon2024, held on 10-12 September at Oxford. #causalinference #bayes #stats
mc-stan.org/events/stanc...
docs.ropensci.org/dynamite/
StanCon 2024
mc-stan.org
July 15, 2024 at 11:34 AM
chriba.bsky.social
Interested in #CausalInference, #Pharmacometrics, or non-linear mixed effects modeling? Join the SxP webinar as we bring these topics together. Expand your knowledge, network with experts, and explore innovative approaches—

register now: isop.informz.net/informzdatas...

#Webinar #PharmaResearch
Correcting for confounding in longitudinal experiments: positioning NLME as implementation of standardization using latent exchangeabilityundefined
isop.informz.net
May 13, 2025 at 4:42 PM
darakhshann.bsky.social
No, it's from a #causalinference group.
Hopefully when things slows down a bit, I will join one of @dslc.io' book club. Cool stuff going on there.
August 8, 2025 at 4:48 PM
getnews-me.bsky.social
A new benchmark shows LLMs struggle with causal inference in real academic text, with the top model reaching only 0.477 F1. Version 2 of the study was posted on 19 Sep 2025. https://getnews.me/large-language-models-struggle-with-real-world-causal-inference/ #causalinference #llm #ai
Large Language Models Struggle with Real‑World Causal Inference
September 22, 2025 at 11:35 PM
scholarai.bsky.social
In the future, improved causal inference methods could enable AI systems to make better decisions, personalize treatments, and understand complex systems more deeply—transforming everyday life and scientific discovery. #DataScience #CausalInference
November 10, 2025 at 6:53 AM
mlearnest.bsky.social
Sometimes back to basics is the best way to reinforce something. I tried to do that here, with an easy application. #DataScience #MachineLearning #CausalInference

Introduction to Causal Inference: What it is, and How it can be Used https://link.medium.com/B9PBf8YgLDb
November 22, 2024 at 2:27 PM
allentien.bsky.social
#Prediction requires expert specification of the questions

#CausalInference or #CounterfactualReasoning requires expert specification of...
December 23, 2024 at 5:01 AM
wimlouw.bsky.social
RSA folks: The City of Cape Town’s Data Science branch is hiring a dataviz person, data scientist(s) & analyst(s). Join a small multidisciplinary team using #statistics #machinelearning & #causalinference to inform decisions & improve services. See: github.com/cityofcapeto... & lnkd.in/dr8XcxVh
November 2, 2023 at 9:27 AM