What are the different methods of causal inference?

What are the different methods of causal inference?

Causal inference methods help determine cause-and-effect relationships. Common methods include randomized controlled trials, observational studies, and statistical techniques like regression analysis.

Can you explain randomized controlled trials?

Sure! Randomized controlled trials (RCTs) involve randomly assigning participants to treatment or control groups to measure the effect of an intervention.

What are some limitations of observational studies?

Observational studies can suffer from confounding variables, selection bias, and cannot establish causation as effectively as RCTs.

How does regression analysis help in causal inference?

Regression analysis helps identify relationships between variables and can control for confounding factors, aiding in causal inference.

What is the role of propensity score matching?

Propensity score matching helps reduce bias by matching participants with similar characteristics across treatment and control groups.