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Related lectures (32)

Page 2 of 4

Causal Inference: Adjustment Sets

Explains adjustment sets in causal inference, emphasizing valid and candidate sets.

Higher Education and Successful Marriage

Analyzes the causal effect of higher education on successful marriage and covers criteria for causal inference.

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Front Door Criterion: Adjustment Formula

Explores the front door criterion for valid adjustment sets in causal inference.

Causal Inference: Front Door Criterion

Explains the front door criterion in causal inference and its sufficient conditions for variables blocking paths effectively.

Developing a Model: Simple Example

Presents a simple example of developing a model with a focus on variables and causal relationships.

Causal Inference: Understanding Associations and Effects

Explores the distinction between association and causation in statistical analysis, highlighting the limitations of association in inferring causation.

Difference Equations

Covers the concept of difference equations and properties of causal vs. stable systems.

Causal Reasoning in Healthcare: ML Guidelines & Dataset Shifts

Explores causal reasoning in healthcare AI, ML guidelines, dataset shifts, bias impact, and multimodal learning.

Causality and Inertial Universes

Explores causal relations, inertial universes, and proper time in spacetime.