The fictitious drug example in Chapter 6 was the simplest situation possible: one treatment variable (Drug D), one outcome (Heart Attack), one confounder (Gender), and all three variables are binary. The example shows how we take a weighted average of the conditional probabilities P(heart attack | drug) in each gender stratum. But the procedure described above can be adapted easily to handle more complicated situations, including multiple (de)confounders and multiple strata.
