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Causal Inference
A set of methods used to identify and estimate causal relationships from observational data, often using techniques like instrumental variables or natural experiments.
Implications
The process of determining whether a cause-and-effect relationship exists between variables, often used in scientific research, economics, and business analytics to understand the impact of interventions or changes.
Example
Example: A company uses causal inference to determine whether its recent advertising campaign led to an increase in sales, controlling for other factors like seasonality and competitor actions.
Related Terms
Different from correlation, which only shows a relationship between variables, causal inference attempts to establish a direct cause-and-effect relationship.
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