Glossary

Causal Inference

What is Causal Inference?

Causal inference covers methods for deriving cause-and-effect relationships from data rather than merely identifying correlations. It answers questions such as 'What would have happened if we had not taken this measure?'. Tools include randomised experiments such as A/B tests, causal graphs and statistical techniques for observational data. Example: checking whether a discount campaign actually increased sales or whether they would have risen anyway for seasonal reasons.

Topics

Statistics
Cause and effect
Analysis

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