Causal Inference Examples

The Limits of Causal Inference from Observational Data That Statisticians Hide—And Why We Keep Using It Anyway

Correlation is not causation—despite hearing this warning repeated so often, everyone in the business world says, ...

Who is Susan C. Athey and what did she change? Analyzing digital markets with causal inference and machine learning

Susan C. Athey is an economist who has studied ways to analyze digital markets and policy by connecting economic theory, ...

Nature

A quantum advantage for inferring causal structure

The slogan ‘correlation does not imply causation’ is meant to capture the fact that any joint probability distribution over two variables can be explained not only by a causal influence of one ...

CU Boulder News & Events

Causal inference under selection on observables in operations management research: Matching methods and synthetic controls

The majority of recent empirical papers in operations management (OM) employ observational data to investigate the causal effects of a treatment, such as program or policy adoption. However, as ...

BMJ

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The Limits of Causal Inference from Observational Data That Statisticians Hide—And Why We Keep Using It Anyway

Who is Susan C. Athey and what did she change? Analyzing digital markets with causal inference and machine learning

A quantum advantage for inferring causal structure

Causal inference under selection on observables in operations management research: Matching methods and synthetic controls

Causal inference in physical activity epidemiology research: an opportunity for better evidence

Causal Inference and COVID: Contrasting Methods for Evaluating Pandemic Impacts Using State Assessments

2026 CAUSALab Summer Courses on Causal Inference