There is an issue on chapter 11, in the following paragraph (comma missing)
There is a formal proof for why this is, but we can forget it for now and approach the matter in a more intuitive way. The
propensity score is the conditional probability of receiving the treatment right? So we can think of it as some sort of function
that converts X into the treatment T. The propensity score makes this middle ground between the variable X and the treatment
T. If we show this in a causal graph, this is what it would look like.
It should be
There is a formal proof for why this is, but we can forget it for now and approach the matter in a more intuitive way. The
propensity score is the conditional probability of receiving the treatment, right? So we can think of it as some sort of function
that converts X into the treatment T. The propensity score makes this middle ground between the variable X and the treatment
T. If we show this in a causal graph, this is what it would look like.
There is an issue on chapter 11, in the following paragraph (comma missing)
There is a formal proof for why this is, but we can forget it for now and approach the matter in a more intuitive way. The
propensity score is the conditional probability of receiving the treatment right? So we can think of it as some sort of function that converts X into the treatment T. The propensity score makes this middle ground between the variable X and the treatment T. If we show this in a causal graph, this is what it would look like.
It should be
There is a formal proof for why this is, but we can forget it for now and approach the matter in a more intuitive way. The
propensity score is the conditional probability of receiving the treatment, right? So we can think of it as some sort of function that converts X into the treatment T. The propensity score makes this middle ground between the variable X and the treatment T. If we show this in a causal graph, this is what it would look like.