Adjustment sets refer to a collection of variables that can be controlled or adjusted for in order to estimate causal effects accurately in observational studies. By identifying and including the right adjustment sets in analysis, researchers can help to mitigate confounding biases that may distort the relationship between exposure and outcome. Understanding how to determine these sets is crucial when using directed acyclic graphs (DAGs) and causal diagrams to elucidate the underlying causal structure of a system.
congrats on reading the definition of Adjustment Sets. now let's actually learn it.