What is causal inference?

What is causal inference?

Causal inference is a method used to determine whether a relationship between two variables is causal or merely correlational.

Can you give me an example of causal inference in real life?

Sure! For instance, researchers might study whether a new drug actually improves patient outcomes compared to a placebo.

What methods are commonly used in causal inference?

Common methods include randomized controlled trials, observational studies, and statistical techniques like regression analysis.

Why is causal inference important in research?

It's crucial because it helps researchers make informed decisions and understand the effects of interventions or treatments.