The main reason for moving from exchangeability (Assumption 2.1) to conditional exchangeability (Assumption 2.2) was that it seemed like a more realistic assumption. However, we often cannot know for certain if conditional exchangeability holds. There may be some [...] confounders that are not part of 𝑋 , meaning conditional exchangeability is violated. Fortunately, that is not a problem in randomized experiments
Answer
unobserved
Tags
#causality #statistics
Question
The main reason for moving from exchangeability (Assumption 2.1) to conditional exchangeability (Assumption 2.2) was that it seemed like a more realistic assumption. However, we often cannot know for certain if conditional exchangeability holds. There may be some [...] confounders that are not part of 𝑋 , meaning conditional exchangeability is violated. Fortunately, that is not a problem in randomized experiments
Answer
?
Tags
#causality #statistics
Question
The main reason for moving from exchangeability (Assumption 2.1) to conditional exchangeability (Assumption 2.2) was that it seemed like a more realistic assumption. However, we often cannot know for certain if conditional exchangeability holds. There may be some [...] confounders that are not part of 𝑋 , meaning conditional exchangeability is violated. Fortunately, that is not a problem in randomized experiments
Answer
unobserved
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Open it nditional exchangeability (Assumption 2.2) was that it seemed like a more realistic assumption. However, we often cannot know for certain if conditional exchangeability holds. There may be some <span>unobserved confounders that are not part of 𝑋 , meaning conditional exchangeability is violated. Fortunately, that is not a problem in randomized experiments <span>
Original toplevel document (pdf)
owner: crocodile - (no access) - Introduction_to_Causal_Inference-Nov19_2020-Neal.pdf, p19
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