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How does decision-gravity dictate this gap? The post Causal Inference Is Different in Business appeared first on Towards Data Science.
Learn how Propensity Score Matching uncovers true causality in observational data. By finding "statistical twins," we eliminate selection bias to reveal the real impact of your int...
Benedikt Koch, Kosuke Imai, and Tomasz Strzalecki write: Counterfactual utilities evaluate decisions not only by the realized outcome under a given decision, but also by the counte...
*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 »
John “Bayesian Data Analysis” Carlin writes: Recent developments in the methodology of epidemiological research have emphasized the importance of achieving clarity of purpose by cl...
A practitioner's warning about generated variables in causal analysis The post LLM Themes Are Not Observations appeared first on Towards Data Science.
I want to show you a tool I just open-sourced. It's called CausalLens, and it answers one specific question that most analytics stacks get completely wrong: did this intervention a...
Turning free-to-use data into a hypothesis-ready dataset The post Using Causal Inference to Estimate the Impact of Tube Strikes on Cycling Usage in London appeared first on Towards...
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...
Imagine you’re estimating the trajectory of a ball thrown at a fixed angle and speed.Continue reading on Medium »
Why Financial Risk Models Must Go Causal — And What the Industry Gains When They Do The financial i
Last week I was at a conference on enhancing scientific integrity (as I reported here), and one of the sessions was an interview of Jay Bhattacharya, the current director of the Na...
A practitioner's argument that meeting summarizers fail in the same way regressions fail when you skip the part where you ask what the data can support. The post LLM Summarizers Sk...
We read with great interest the network meta-analysis by Ibrahim and colleagues evaluating antithrombotic strategies in patients with ischemic stroke, atrial fibrillation, and athe...
Imagine this result from a marketing experiment:Continue reading on Medium »
In 2014, acute kidney injury electronic alerts were implemented across Wales based on a predefined increase in creatinine levels. In their recent paper, Xie et al. used a regressio...
I believe, as applied statisticians, we need to get our hands dirty and immerse ourselves in the applications we try to address. This post is mostly about medical ethics and the fa...
by Shuze Liu, Trevor Holland, Wei Ji Ma, Luigi Acerbi The perception of the external world relies on integrating information from multiple sensory modalities. To do this effective...
by Michal Sadowski, Andy W. Dahl, Noah Zaitlen, Richard Border Gene-environment interaction (G × E) studies hold promise for identifying genetic loci mediating the effects of envi...
Three weeks ago we modeled vote choice with candidates C = {Left, Right, Other} as a multinomial logit: P[voter i chooses candidate c from C] = exp(f(X_ic)) / sum_c’ exp(f(X_ic’))...
This paper compares agentic AI systems and human economists performing the same causal inference tasks. AI systems and humans generally obtain similar median causal effect estimate...
by Sangkyu Son, Seng Bum Michael Yoo Despite limited access to others’ actions and outcomes, humans excel at inferring hidden intentions. Given only partial access, how do they de...
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