# Questions tagged [dag]

DAG stands for Directed Acyclic Graph. DAGs are commonly used to help people think about causal patterns amongst variables.

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### What should I study after finishing 'Causal Inference in Statistics: A Primer'?

I have almost finished studying 'Causal Inference in Statistics: A Primer', but I still feel that I need to learn more. I considered 'Causality' (Pearl, 2009), but there seem to be several good ...
1 vote
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### How can I efficiently test whether a subsets of nodes in a DAG are "lined up" more often than expected by random chance?

I have a directed acyclic graph with N nodes, each of which is assigned to one of K groups, with K < N. My hypothesis is that nodes in the same group tend to "line up" along a linear path....
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### Question about using potential outcomes in DAGs in real world example

I am trying to understand how DAGs and potential outcomes look together. I came across these excellent posts (here and here, but I am trying to understand how this looks in a real world example. ...
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### Meaning of multiple exposures in a DAG

I am working with DAGs as a way to do some causal modeling. I am using dagitty - both the website and the R package. I feel like I have a good grasp of most things related to confounding, adjustment ...
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### How is backdoor criterion used in practice?

Is the backdoor criterion applicable only for "learning" in a causal model (i.e. for estimating the causal effects between variables) or must it also be used when running that model, as in ...
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### Bad control problem when controlling for one of the two mediating paths?

Is the following a bad control situation? Suppose I have a DAG with the following paths,$$X\to Z_1 \to Y \quad\text{and}\quad X \to Z_2 \to Y$$ Then would controlling for $Z_1$ only give the effect of ...
1 vote
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### How is a difference-in-differences model represented in a causal diagram (or directed acyclic graph)?

Unlike a standard causal model with A = Treatment, X = Confounder, and Y = Outcome: a difference-in-differences (DiD) model is concerned with estimating the Average Treatment Effect on the Treated (...
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### the causal factors in a subtracting relationship in directed acyclic graph

I have one variable A which is derived from subtracting C from B, i.e., A=B-C, does that mean B and C are both the causal factors of A if depicted in A DAG?
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1 vote
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### DAG: what is the type of variable that only influences exposure?

What is the type of the left variable if this is not an instrument or conditional instrument? Is it just a covariate? Moderator?
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### What's the MAG of this underlying DAG?

I am studying causal discovery, with an interest on constraint-based algorithms like FCI (Fast Causal Inference). I want to know what's the Maximal Ancestral Graph (MAG) of this underlying DAG (...
1 vote
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### DAG: how descendant, collider and mediator most likely affect the effect between exposure and outcome?

I made a very simple scenario: Let's assume 'total work time' has a positive association with 'income' (more you work, more you earn). But when I adjust to one of the following DAG's members, what ...
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### Which OLS assumptions are colliders violating?

The following webpage says that: We should not control for a collider variable! Which OLS assumptions are colliders violating?
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1 vote
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### How to test for a partially mediated model?

I have a dataset with three variables: Outcome, Exposure, and Mediator. My hypothesis is that the variables are related as in the following DAG: In particular I want to test that "Mediator" ...
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### Instrumental Variable and "Exclusivity"

In the following DAG: Can I use IV1 as an instrument for exposure? In the this video at 4:26 the teacher explains a principle of "exclusivity" for instrumental variables. Cutoff causes ...
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