Not all MMM tools are equal: Meridian, Robyn, Orbit, and Prophet explained

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Variant Bio Launches Inference, the World's First Agentic AI Genomic Drug Discovery Platform

Variant Bio, a genomics-driven AI drug discovery company, today announced the launch of Inference, the world's first agentic genomic drug dis ...
Scientific Research Publishing

Imbens, G.W. and Rubin, D.B. (2015) Causal Inference for Statistics, Social, and Biomedical Sciences. Cambridge University Press.

ABSTRACT: Determining the causal effect of special education is a critical topic when making educational policy that focuses on student achievement. However, current special education research is ...
Reuters

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

Plaintiffs allege Meta hid product risks from users and authorities Meta accused of ineffective youth safety features and prioritizing growth over safety Meta opposed unsealing of internal documents ...
ZDNet

Cloud-native computing is poised to explode, thanks to AI inference work

The CNCF is bullish about cloud-native computing working hand in glove with AI. AI inference is the technology that will make hundreds of billions for cloud-native companies. New kinds of AI-first ...
InfoWorld

AI is all about inference now

You train the model once, but you run it every day. Making sure your model has business context and guardrails to guarantee reliability is more valuable than fussing over LLMs. We’re years into the ...
ahajournals.org

Abstract 4368647: Improving Center Performance Assessment in Congenital Heart Surgery Through Causal Inference Weighting Approaches

Background: Traditional congenital heart surgery quality assessments rely on indirect standardization via regression, which can be complicated by heterogeneity in case-mix, surgical volume, and low ...
Scientific Research Publishing

Holland, P.W. (1986) Statistics and Causal Inference. Journal of the American Statistical Association, 81, 945-960.

ABSTRACT: Special education services are designed to provide tailored support for students with diverse learning needs, with the expectation of improving academic achievement. This study examines the ...
Frontiers

Causal ECGNet: leveraging causal inference for robust ECG classification in cardiac disorders

Electrocardiogram (ECG) is a graphical representation of the electrical activity of the heart and plays a crucial role in diagnosing heart disease and assessing cardiac function. In the context of ...
The Lancet

Strengthening health technology assessment for cancer treatments in Europe by integrating causal inference and target trial emulation

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Health Technology Assessment (HTA) for reimbursement of all new cancer drugs in the European Union (EU ...
Frontiers

The impact of “zero-waste city” pilot policy on corporate green transformation: a causal inference based on double machine learning

Introduction: Against the backdrop of China’s ambitious “dual carbon” objectives and ongoing economic transformation, this study investigates the efficacy of solid waste management reform through the ...
GitHub

Causal Inference and Discovery in Python

What is this book about? Causal methods present unique challenges compared to traditional machine learning and statistics. Learning causality can be challenging, but it offers distinct advantages that ...