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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.
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...
*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 »
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...
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...
A practitioner's warning about generated variables in causal analysis The post LLM Themes Are Not Observations appeared first on Towards Data Science.
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...
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...
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...
Imagine you’re estimating the trajectory of a ball thrown at a fixed angle and speed.Continue reading on Medium »
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...
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...
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