The problem with instrumental variables
When using real-world data, researchers must always deal with a key issue: selection bias. To get around this bias, many health care researchers use an instrumental variable that can predict the explanatory variable of interest (e.g., receipt of a specific treatment) but is not correlated with patient outcomes (e.g., mortality). A commonly used IV is…