Describing Data Causal Inference Bootcamp

June 3, 2026
Media Summary: This module discusses the first step in a We also discuss the concepts of reverse causality and simultaneity. Part of Duke University's What do we mean by saying something causes an effect to happen? The

Describing Data Causal Inference Bootcamp - Detailed Analysis & Overview

This module discusses the first step in a We also discuss the concepts of reverse causality and simultaneity. Part of Duke University's What do we mean by saying something causes an effect to happen? The Correlation does not imply causation...except when we assume it does! We discuss this idea in this module. Here we discuss the subtle differences between three different kinds of datasets that have We've seen some examples of RDD, but how do we actually formally compute

Here we discuss matching, a concept similar to regression analysis. Matching is often used when computing

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Describing Data: Causal Inference Bootcamp
Measurement: Causal Inference Bootcamp
Basic Elements of a Regression Table: Causal Inference Bootcamp
Recap of Causal Inference Bootcamp: Causal Inference Bootcamp
Introduction to Regression Analysis: Causal Inference Bootcamp
Introduction to the Causal Inference Bootcamp
Counterfactuals: Causal Inference Bootcamp
ATEs, CATEs, and LATEs: What's the Difference?: Causal Inference Bootcamp
Foundations of causal inference and its impacts on machine learning webinar
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The 3 Kinds of Panel Data: Causal Inference Bootcamp

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Describing Data: Causal Inference Bootcamp

Describing Data: Causal Inference Bootcamp

This module discusses the first step in a

Measurement: Causal Inference Bootcamp

Measurement: Causal Inference Bootcamp

The

Basic Elements of a Regression Table: Causal Inference Bootcamp

Basic Elements of a Regression Table: Causal Inference Bootcamp

Part of Duke University's

Recap of Causal Inference Bootcamp: Causal Inference Bootcamp

Recap of Causal Inference Bootcamp: Causal Inference Bootcamp

Part of Duke University's

Introduction to Regression Analysis: Causal Inference Bootcamp

Introduction to Regression Analysis: Causal Inference Bootcamp

We also discuss the concepts of reverse causality and simultaneity. Part of Duke University's

Introduction to the Causal Inference Bootcamp

Introduction to the Causal Inference Bootcamp

What do we mean by saying something causes an effect to happen? The

Counterfactuals: Causal Inference Bootcamp

Counterfactuals: Causal Inference Bootcamp

The

ATEs, CATEs, and LATEs: What's the Difference?: Causal Inference Bootcamp

ATEs, CATEs, and LATEs: What's the Difference?: Causal Inference Bootcamp

Part of Duke University's

Foundations of causal inference and its impacts on machine learning webinar

Foundations of causal inference and its impacts on machine learning webinar

Many key

Using Regression to Get Causal Effects: Causal Inference Bootcamp

Using Regression to Get Causal Effects: Causal Inference Bootcamp

Correlation does not imply causation...except when we assume it does! We discuss this idea in this module.

Basics of Modeling Behavior: Causal Inference Bootcamp

Basics of Modeling Behavior: Causal Inference Bootcamp

To learn about

The 3 Kinds of Panel Data: Causal Inference Bootcamp

The 3 Kinds of Panel Data: Causal Inference Bootcamp

Here we discuss the subtle differences between three different kinds of datasets that have

How to Compute Causal Effects Using Regression Discontinuity: Causal Inference Bootcamp

How to Compute Causal Effects Using Regression Discontinuity: Causal Inference Bootcamp

We've seen some examples of RDD, but how do we actually formally compute

Using Regression to Get Causal Effects: Unconfoundedness: Causal Inference Bootcamp

Using Regression to Get Causal Effects: Unconfoundedness: Causal Inference Bootcamp

Part of Duke University's

Matching Methods: Causal Inference Bootcamp

Matching Methods: Causal Inference Bootcamp

Part of Duke University's

Matching Methods: Causal Inference Bootcamp

Matching Methods: Causal Inference Bootcamp

Here we discuss matching, a concept similar to regression analysis. Matching is often used when computing