In 2021, CAUSALab was founded under the direction of Miguel Hernán with a core mission of providing training on causal inference to the next generation of ...

22 окт. 2023 г. · Welcome to the OSF page for the Causal Inference Course presented by Prof Miguel Hernán and Dr Joy Shi, held December 4-7, 2023 at Neuroscience Research ...

The book is divided in 3 parts of increasing difficulty: causal inference without models, causal inference with models, and causal inference from complex ...

Learn to make causal claims by combining data with arguments. Taught by Y. Samuel Wang, Mayleen Cortez-Rodriguez, Filippo Fiocchi, and Shira Mingelgrin.

The course book—Causal Inference: What If (2020)—by M.A. Hernán and J.M. Robins is available now as a PDF. Course fee. PhD Bern: CHF 600 PhD other: CHF 800

The course introduces a general-purpose causal inference framework that integrates methods for both experimental and non-experimental data.

The course will be taught by Professor Miguel Hernán and Dr Joy Shi from the CAUSALab at Harvard University. Curriculum (December 4-7, 2023). Day 1: Target ...

In this course we will learn about the field of Causal Inference. This will start with looking at Pearl's ladder of causality and understanding data concepts.

This course is meant to be for anyone with the necessary prerequisites who is interested in learning the basics of causality.

Causal Inference: What If? by Miguel Hernan and Jamie Robins (2024) - A comprehensive textbook on causal inference with an academic focus. Acknowledgments.