It's a very good and critical question to ask. From the Slay News writeup: "These are the results after controlling for observable confounders. In the raw data, regular mask-wearers had a 74-75% higher risk of testing positive for Covid."
Causal inference methods are essential when analyzing observational data.
It's a very good and critical question to ask. From the Slay News writeup: "These are the results after controlling for observable confounders. In the raw data, regular mask-wearers had a 74-75% higher risk of testing positive for Covid."
Causal inference methods are essential when analyzing observational data.