Data Science, Statistics, Causality, Machine Learning, Analytics.
confounder, just no unmeasured single cause confounders. Creating Instruments Now we will see why multiple causation is necessary. We want to create a common instrument X. This X is a local variable, i.e. each observation has a unique X vector (more on this in a minute). For example, we can fit PCA