Causal Estimands And Interventions

June 3, 2026
Media Summary: Vanessa Didelez (Leibniz Institute, University of Bremen) Speaker: Jessica Young (Harvard University) - Title: Cluster randomized trials (CRTs) involve randomizing groups of individuals to different

Causal Estimands And Interventions - Detailed Analysis & Overview

Vanessa Didelez (Leibniz Institute, University of Bremen) Speaker: Jessica Young (Harvard University) - Title: Cluster randomized trials (CRTs) involve randomizing groups of individuals to different This video is part of an online module for my course Basic Econometric at University of Gothenburg, Sweden. MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: David Sontag View the complete course: ... Our speaker is Dr. Maya Mathur from Stanford University's Quantitative Sciences Unit and the Department of Pediatrics. She will ...

Alejandro Schuler: Last section here, non-parametric regression and The interpretation of estimated treatment effects in randomised trials is often unclear or opaque. IHPI's January 2015 seminar featured IHPI member Ariel Linden, Dr.P.H., research scientist, General Medicine, U-M Medical ...

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Causal Estimands And Interventions
Causal Estimands for Averted and Avertible Outcomes due to Infectious Disease Interventions
Jessica Young: Causal inference with competing events
Toward Causal Inference in Cluster Randomized Trials Estimands & Reflection on Current Practice MtG
Causal inference in econometrics
Causal Inference - EXPLAINED!
14. Causal Inference, Part 1
Fiammetta Menchetti: Estimating the causal effect of an intervention in a time series setting
Causal Fusion: identification of interventions and Causal Discovery
2.10 - Estimands, Estimates, and the Identification-Estimation Flowchart
A common-cause principle for eliminating selection bias in causal estimands through cov adjustment
Lecture 14.6: causal inference with nonparametric regression

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Causal Estimands And Interventions

Causal Estimands And Interventions

Vanessa Didelez (Leibniz Institute, University of Bremen) https://simons.berkeley.edu/talks/

Causal Estimands for Averted and Avertible Outcomes due to Infectious Disease Interventions

Causal Estimands for Averted and Avertible Outcomes due to Infectious Disease Interventions

https://journals.lww.com/epidem/fulltext/2025/05000/causal_estimands_for_analyses_of_averted_and.10.aspx Katherine Jia ...

Jessica Young: Causal inference with competing events

Jessica Young: Causal inference with competing events

Speaker: Jessica Young (Harvard University) - Title:

Toward Causal Inference in Cluster Randomized Trials Estimands & Reflection on Current Practice MtG

Toward Causal Inference in Cluster Randomized Trials Estimands & Reflection on Current Practice MtG

Cluster randomized trials (CRTs) involve randomizing groups of individuals to different

Causal inference in econometrics

Causal inference in econometrics

This video is part of an online module for my course Basic Econometric at University of Gothenburg, Sweden.

Causal Inference - EXPLAINED!

Causal Inference - EXPLAINED!

Follow me on M E D I U M: https://towardsdatascience.com/likelihood-probability-and-the-math-you-should-know-9bf66db5241b ...

14. Causal Inference, Part 1

14. Causal Inference, Part 1

MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: David Sontag View the complete course: ...

Fiammetta Menchetti: Estimating the causal effect of an intervention in a time series setting

Fiammetta Menchetti: Estimating the causal effect of an intervention in a time series setting

"Estimating the

Causal Fusion: identification of interventions and Causal Discovery

Causal Fusion: identification of interventions and Causal Discovery

Causal

2.10 - Estimands, Estimates, and the Identification-Estimation Flowchart

2.10 - Estimands, Estimates, and the Identification-Estimation Flowchart

In this part of the Introduction to

A common-cause principle for eliminating selection bias in causal estimands through cov adjustment

A common-cause principle for eliminating selection bias in causal estimands through cov adjustment

Our speaker is Dr. Maya Mathur from Stanford University's Quantitative Sciences Unit and the Department of Pediatrics. She will ...

Lecture 14.6: causal inference with nonparametric regression

Lecture 14.6: causal inference with nonparametric regression

Alejandro Schuler: Last section here, non-parametric regression and

4.7 - Structural Causal Models SCMs

4.7 - Structural Causal Models SCMs

In this part of the Introduction to

Michael Hudgens&Chanhwa Lee: Nonparametric Estimation of Policy Effects with Clustered Interference

Michael Hudgens&Chanhwa Lee: Nonparametric Estimation of Policy Effects with Clustered Interference

Various

Estimands in randomised trials: rethinking common wisdoms

Estimands in randomised trials: rethinking common wisdoms

The interpretation of estimated treatment effects in randomised trials is often unclear or opaque.

Causal Inference & the "Bayesian-Frequentist War" | Richard Hahn S2E8 | CausalBanditsPodcast.com

Causal Inference & the "Bayesian-Frequentist War" | Richard Hahn S2E8 | CausalBanditsPodcast.com

What can we learn about

Create Your Causal Inference Roadmap. Causal Inference, TMLE & Sensitivity | Mark van der Laan S2E6

Create Your Causal Inference Roadmap. Causal Inference, TMLE & Sensitivity | Mark van der Laan S2E6

Create Your

Applying Causal Inferential Techniques to the Evaluation of Health Management Interventions

Applying Causal Inferential Techniques to the Evaluation of Health Management Interventions

IHPI's January 2015 seminar featured IHPI member Ariel Linden, Dr.P.H., research scientist, General Medicine, U-M Medical ...