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Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
Hi,
I am not sure, but I believe that cell 13 of Chapter 16 is not correct. The regression on the outcome (Y) should be done on the predicted value of the treatment (A) and not on the actual value of it. If I am mistaken, can you clarify this to me please?
Best,
Sergio
It is mentioned in Chapter 12 and section 12.2 that WLS gives the right coefficients but the standard error is off and GEE gives better standard errors. Can you provide more detail about this statement?
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