S5E7: Exchangeability, Positivity, Consistency… and Measurement?

In this episode, we talk with Dr. Alexis Reeves about Chapter 9 of Causal Inference: What If , focusing on measurement bias (the bias formerly known as information bias). Measurement bias arises when exposures, outcomes, confounders, or colliders are measured incorrectly. We discuss different types of measurement bias: differential, nondifferential, dependent, and independent, and errors in…