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politicalsciencenow.com /1 month ago

2026 Short Course Highlight: Causal Inference with Observational Data

Causal Inference with Observational Data Half Day Short Course | Register here 2026 APSA Annual Meeting & Exhibition — Boston, MA 9:00 am – 1:00 pm Estimating treatment effects...

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medium.com /1 week ago

Causal Inference in Finance: Moving Beyond “What Happened?” to “What Actually Worked?”

Why the patterns in your dashboards might be lying to youContinue reading on Medium »

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statmodeling.stat.columbia.edu /1 month ago

“The Data Analyst’s Guide to Cause and Effect”

Theiss Bendixen and Benjamin Grant Purzycki wrote this book. He writes: The website holds: – All data and code used in the book – Free sample chapters – Bonus material These aren’t...

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statmodeling.stat.columbia.edu /1 month ago

Epidemiologist Donna Spiegelman sez: SUTVA is “mostly not necessary for valid causal estimation and inference most of t...

Donna Spiegelman shares this presentation she gave at the recent American Causal Inference Conference. I like what she has to say. Here are the two parts of the stable treatment va...

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ajay-deshpande.medium.com /1 month ago

# Why Most Data Science Doesn’t Answer the Question You’re Asking

*This is the introduction to a series on causal inference — one of the most practically important and least taught topics in data science…Continue reading on Medium »

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journals.plos.org /1 month ago

MR2G: A novel framework for causal network inference using GWAS summary data

by Zhaotong Lin, Wei Pan, Haoran Xue Inferring a causal network among multiple traits is essential for unraveling complex biological relationships and informing interventions. Men...

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towardsdatascience.com /1 month ago

LLM Themes Are Not Observations

A practitioner's warning about generated variables in causal analysis The post LLM Themes Are Not Observations appeared first on Towards Data Science.

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