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Tags
#causality #has-images #statistics
Question
Well, what assumption(s) would make it so that the ATE is simply the [...(what type?)] difference? This is equivalent to saying βwhat makes it valid to calculate the ATE by taking the average of the π(0) column, ignoring the question marks, and subtracting that from the average of the π(1) column, ignoring the question marks?β 6 This ignoring of the question marks (missing data) is known as ignorability
Answer
associational
Tags
#causality #has-images #statistics
Question
Well, what assumption(s) would make it so that the ATE is simply the [...(what type?)] difference? This is equivalent to saying βwhat makes it valid to calculate the ATE by taking the average of the π(0) column, ignoring the question marks, and subtracting that from the average of the π(1) column, ignoring the question marks?β 6 This ignoring of the question marks (missing data) is known as ignorability
Answer
?
Tags
#causality #has-images #statistics
Question
Well, what assumption(s) would make it so that the ATE is simply the [...(what type?)] difference? This is equivalent to saying βwhat makes it valid to calculate the ATE by taking the average of the π(0) column, ignoring the question marks, and subtracting that from the average of the π(1) column, ignoring the question marks?β 6 This ignoring of the question marks (missing data) is known as ignorability
Answer
associational
If you want to change selection, open original toplevel document below and click on "Move attachment"
Well, what assumption(s) would make it so that the ATE is simply the associational difference? This is equivalent to saying βwhat makes it valid to calculate the ATE by taking the average of the π(0) column, ignoring the question marks, and subtracting that from the a
Parent (intermediate) annotation
Open itWell, what assumption(s) would make it so that the ATE is simply the associational difference? This is equivalent to saying βwhat makes it valid to calculate the ATE by taking the average of the π(0) column, ignoring the question marks, and subtracting that from the a
Original toplevel document (pdf)
owner: crocodile - (no access) - Introduction_to_Causal_Inference-Nov19_2020-Neal.pdf, p17Summary
| status | not learned | measured difficulty | 37% [default] | last interval [days] | |||
|---|---|---|---|---|---|---|---|
| repetition number in this series | 0 | memorised on | scheduled repetition | ||||
| scheduled repetition interval | last repetition or drill |
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