Timeline for Controlling variables in causal diagrams
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jan 18, 2020 at 21:10 | comment | added | Lucidnonsense | I understand that I shouldn’t control for B because it’s a collider. I want to know how the diagram looks when a variable is controlled for. Then I would be able to see everything explicitly | |
| Jan 18, 2020 at 20:25 | comment | added | Robert Long | @Lucidnonsense the rule is not to condition on a collider. | |
| Jan 18, 2020 at 19:38 | comment | added | Robert Long | (+1) this is a really nice answer to whar is a very tricky problem - explaining collider bias :) | |
| Jan 18, 2020 at 19:20 | comment | added | Lucidnonsense | But what is the rule? The rule that I can apply to anything. Can I backtrack along casual paths ad infinitum? | |
| Jan 18, 2020 at 18:57 | comment | added | Lucidnonsense | I can imagine drawing a link (not a causal one, just an association) between A and C (such associations already exist due to other links) because of the controlling of B (just join them up because they both point to B). But in the other example above (hyperlink), I cant draw associations when controlling for B even though it does add bias. | |
| Jan 18, 2020 at 18:46 | history | answered | Ed Rigdon | CC BY-SA 4.0 |