Orthogonal Representation Learning for Estimating Causal Quantities
#CausalInference
#statstab #474 {DeclareDesign} Observational : causal
Thoughts: If you want to do causal research with OS there is a lot more to consider than in #473
#design #research #rstats #education #tutorial #pedagogy #DiD #DAGs #causalinference
https://book.declaredesign.org/library/observational-causal.html
Surprising result, nice study design
When "Likes" went private on X there was no detectable change in the number of Likes received on posts by "high reputational risk" accounts
https://arxiv.org/pdf/2601.11140
#CausalInference #DifferenceInDifference #SocialMedia #Research
#statstab #457 Race as a Bundle of Sticks: Designs that Estimate Effects of Seemingly Immutable Characteristics
Thoughts: The theoretical framework a researcher uses will affect the causal inference they can make.
#estimand #causalinference #rubin
https://www.annualreviews.org/content/journals/10.1146/annurev-polisci-032015-010015
Already have my 2026 resolution ready
#statstab #471 Give Your Hypotheses Space!
Thoughts: "each hypothesis requires its own model" + "Only interpret the output for your exposure of interest"
#causalinference #modelling #hypothesis #tutorial #confounding #mbias
https://brian-lookabaugh.github.io/website-brianlookabaugh/blog/2025/mutual-adjustment/
#statstab #456 Shall we count the living or the dead?
Thoughts: survival ratio -> if the intervention increases risk of the outcome
risk ratio -> if the intervention reduces risk of the outcome
#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.
“Correlation is causation” 😈
New #substack going over the maths of correlation, t-test, and linear models. https://open.substack.com/pub/mzloteanu/p/correlation-is-causation?r=3b457w&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true
#statstab #440 Computing Statistical Power for the Difference in Differences Design
Thoughts: DiD studies are all the rage in Obs research. But how does the concept of power apply to them?
#poweranalysis #DiD #causalinference #samplesize #observational
New newsletter! Understanding participation in the X Community Notes system, via my love of data visualisation and stronger causal inference methods!
#DataViz #CausalInference #FactChecking #CommunityNotes
https://open.substack.com/pub/tomstafford/p/community-notes-require-a-community
#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.
🧪 Causal inference is about understanding why things happen, not just what
Alex Andorra talks with Sam Witty about ChiRho & how probabilistic programming is reshaping interventions, counterfactuals, and the future of causal reasoning
🎧https://learnbayesstats.com/episode/141-ai-assisted-causal-inference-sam-witty
#CausalInference #BayesianStatistics #Podcast #DataScience #AIResearch #LearningBayesianStatistics #NewEpisode
Postdoc in Single-Cell Multi-Omic Gene Regulatory Networks
University of Massachusetts Chan Medical School
Decode #GeneRegulatoryNetwork from #SingleCell multiomics with #CausalInference and #DiffEq as a #postdoc! No biomed bg needed.
See the full job description on jobRxiv: https://jobrxiv.org/job/university-of-massachusetts-chan-medical-...
https://jobrxiv.org/job/university-of-massachusetts-chan-medical-school-27778-postdoc-in-single-cell-multi-omic-gene-regulatory-networks-2/?fsp_sid=2615
This Thursday is MadPy's next meetup. Pierce Edmiston will be providing a crash course in Causal Inference. It'll be a new location for our group: Sequoya Branch Library, on the near west side of #MadisonWI. We'll also have free pizza and beverages 🍕 🥤 Should be a great event. Looking forward to seeing everyone!
https://madpy.com/meetups/2025/9/11/20250911-a-crash-course-in-causal-inference/
This event is free and open the public. Newcomers and beginners are welcome
Postdoc in Single-Cell Multi-Omic Gene Regulatory Networks
University of Massachusetts Chan Medical School
Join us to decode #GeneRegulatoryNetwork from #SingleCell multiomics with #CausalInference as a #postdoc!
See the full job description on jobRxiv: https://jobrxiv.org/job/university-of-massachusetts-chan-medical-school-27778-postdoc-i...
https://jobrxiv.org/job/university-of-massachusetts-chan-medical-school-27778-postdoc-in-single-cell-multi-omic-gene-regulatory-networks-2/?fsp_sid=2069
Julia Roher on Mediation Analysis
"The central concern is that claims about mediation are causal claims. We claim that some cause X affects an outcome Y via some mediator M, X → M → Y. Without reference to causality, in purely statistical terms, mediation is indistinguishable from confounding (X ← M → Y, MacKinnon et al., 2010) and really just not substantively meaningful"
#statstab #412 Causal inference for N-of-1 trials
Thoughts: Only skimmed this, curious what the #causalinference ppl think of this.
🩺 How can digital twins help us move from hospital rankings to truly patient-centered comparisons?
🔗 Harnessing the power of virtual (digital) twins: Graphical causal tools for understanding patient and hospital differences. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.08.017
📚 CSBJ Smart Hospital: https://www.csbj.org/smarthospital
#DigitalTwins #HealthcareInnovation #CausalInference #PatientCare #PrecisionMedicine #HealthTech #DataDrivenHealthcare
#statstab #409 Sensitivity Analyses for Unmeasured Confounders
Thoughts: Some assumptions of obs. research are untestable. One way around this is testing what could break your inference.
#causalinference #confounder #collider #bias #sensitivityanalysis #observational
https://link.springer.com/article/10.1007/s40471-022-00308-6
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