Search Results
| Search type | Search syntax |
|---|---|
| Tags | [tag] |
| Exact | "words here" |
| Author |
user:1234 user:me (yours) |
| Score |
score:3 (3+) score:0 (none) |
| Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
| Views | views:250 |
| Code | code:"if (foo != bar)" |
| Sections |
title:apples body:"apples oranges" |
| URL | url:"*.example.com" |
| Saves | in:saves |
| Status |
closed:yes duplicate:no migrated:no wiki:no |
| Types |
is:question is:answer |
| Exclude |
-[tag] -apples |
| For more details on advanced search visit our help page | |
Results tagged with dag
Search options not deleted
user 40242
DAG stands for Directed Acyclic Graph. DAGs are commonly used to help people think about causal patterns amongst variables.
2
votes
Accepted
Directed Acyclic Graphs and the no unrepresented prior common causes assumption
I guess you could say that they are not proper "variables", and therefore do not have to be included in the DAG.
I am not aware of a thorough discussion of this question in the literature. …
- 2,395
38
votes
Accepted
A layman understanding of the difference between back-door and front-door adjustment
Let's say you are interested in the causal effect of $D$ on $Y$. The following statement are not quite precise but I think convey the intuition behind the two approaches:
Back-door adjustment: Determ …
- 2,395
1
vote
Accepted
DAG: when should we use variables marked as "adjusted"?
In dagitty, when you indicate that a variable $A$ is "adjusted", you indicate that you will definitely adjust/control for it in the analysis. Dagitty will then tell you whether and how you can still e …
- 2,395
15
votes
Accepted
Representing interaction effects in directed acyclic graphs
Let's have a look at the structural equations in your case, which correspond to your "DAG" stripped of the red arrow:
Mesothelioma = $f_{1}$(Tobacco, Asbestos, $\epsilon_{m}$)
Tobacco = $f_{2}$($\epsilon …
- 2,395