The estimand framework, formalized in ICH E9(R1) regulatory guidance, provides a structured approach to define scientific objectives with precision. We apply the estimand framework to dose–exposure–response analyses. ... strategy to improve exposure–response analyses for dose selection, particularly when the relevant evidence includes data from multiple studies.

#estimand #exposure-response #dose-response #causal #pharmacometrics #pmx

https://doi.org/10.1002/psp4.70202

The vast datasets on which LLMs are trained are repositories of human linguistic activity, imbued with the collective referential histories of countless speakers. Even if an #LLM does not "know" these histories in a human-like conscious sense, the statistical patterns it learns from this data implicitly encode these #causal-historical links.

https://jordivitria.substack.com/p/meaningful-language-understanding

#statstab #482 Introducing Causion: A web app for playing with DAGs

Thoughts: A very cool app. Let's you see exactly what your assumptions and DGP mean for your causal model.

#causal #causalinference #DAG #DAGs #dgp #tutorial #guide #education #pedagogy

https://pedermisager.org/blog/causion-dag-simulator/

#statstab #476 Experimental : causal

Thoughts: Randomized experiments are the gold standard for inference for a reason. But they are hard to design.

#design #r #statistics #methods #experiment #tutorial #pedagogy #education #hypothesis #nhst #causal #ancova

https://book.declaredesign.org/library/experimental-causal.html

From the @DSLC ​chives:

 ISLR: Deep Learning https://youtu.be/1D6plTaDvTU #RStats

 The Effect: An Introduction to Research Design and Causality: Finding Front Doors https://youtu.be/8RJxoOz2dyg #RStats #causal #causality

 Geocomputation w R: Statistical learning & Ecology https://youtu.be/ozXzmWtv1_g #geocomputation #RStats

Support the Data Science Learning Community at https://patreon.com/DSLC

From the @DSLC ​chives:

 Bayes Rules! Posterior Inference & Prediction https://youtu.be/5U19BRPwPrs #RStats

 Modelado Tidy con R - 5. Gastando nuestros datos https://youtu.be/_E_5pBFtSJk #RStats

 The Effect: Treatment Effects & Causality with Less Modeling https://youtu.be/G3Ur3lZAYCs #RStats #causal #causality

Support the Data Science Learning Community at https://patreon.com/DSLC

Meta buried 'causal' evidence of social media harm, US court filings allege

https://www.reuters.com/sustainability/boards-policy-regulation/meta-buried-causal-evidence-social-media-harm-us-court-filings-allege-2025-11-23/

#HackerNews #Meta #Causal #Evidence #SocialMedia #Harm #CourtFilings #News