7.2 Covariates & Missing pot. outcome perspective | Applied Causal Analysis (with R)

7.2 Covariates & Missing pot. outcome perspective

To estimate the causal effect for any particular unit we need to predict/impute the missing potential outcome

Unit	D_i (Aspirin: Yes/No)	Y_i1 (Pain \| Aspirin)	Y_i0 (Pain \| NoAspirin)	Gender
Simone	1	0	?	0
Julia	1	1	?	1
Paul	0	?	1	0
Trump	0	?	0	0
Fabrizio	0	?	0	0
Diego	0	?	0	0

Q: Assumping we have a treatment D (Aspirin) and outcome Y (Pain), what kind of person would you look for to imput Peter (75kg/1.85m/25years)?
We can use pre-treatment variables to make predictions (fill in missings/find comparable units)