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Questions tagged [collider]

1 vote
0 answers
41 views

For a confounder, like the following figure, it is commonly suggested that use of the Inverse Probability of Weighting can remove the path from confounder to exposure so that it removes the backdoor ...
Elong Chen's user avatar
1 vote
1 answer
91 views

My question pertains to the following empirical situation. You have a bivariate model (e.g. regression), and you find no effect of $X$ on $Y$. Then you add a covariate in your model, $Z$, and now you ...
giac's user avatar
  • 921
1 vote
1 answer
240 views

I have been recently asked what is the difference between a Dose Response Function (DRF) estimation (as the one proposed in this link and this paper) and a statistical regression method. I therefore ...
DaSim's user avatar
  • 460
6 votes
2 answers
987 views

Collider bias occurs when there is no association between X and Y but when a third variable which is caused by both X and Y is controlled for, this "opens a path" between X and Y and leads ...
JElder's user avatar
  • 1,464
2 votes
1 answer
146 views

Four variables $X$, $Y$, $A$, and $B$ are assumed to have relationships as in the following diagram: Here, $X$ is the predictor and $Y$ is the outcome variable. Suppose that the research interest is ...
bluepole's user avatar
  • 2,831
2 votes
1 answer
90 views

Is the U, the unobserved creating an open backdoor path or confounding? Why condition on the collider Occupation good here?
user avatar
4 votes
2 answers
357 views

I have made the following model in DAGitty: Where $X_2$ is controlled for. DAGitty says: The total effect cannot be estimated due to adjustment for an intermediate or a descendant of an intermediate....
robertspierre's user avatar
0 votes
1 answer
138 views

Long story short, I'm seeing in the literature that linear instrumental variables models are identifiable, even in the presence of unobserved confounders. The unobserved confounding aspect befuddles ...
mortonjt's user avatar
  • 367
0 votes
1 answer
149 views

I am studying chapter 5 "The many variables & the spurious waffles" of the book Rethinking and trying to answer the following question: How is biased sample like conditioning on a ...
Quinten's user avatar
  • 429
1 vote
1 answer
148 views

My team is conducting a pre/post-intervention comparison of health outcomes in treatment and control groups, and the question came up whether it's a good idea condition/match on a deceased flag for ...
RobertF's user avatar
  • 6,644
4 votes
1 answer
187 views

Based on the causal diagram below, where: Y1 is the outcome in the post-intervention period, Y0 is the pre-intervention outcome, X is a Yes/No healthcare intervention, and Z1 & Z2 represent ...
RobertF's user avatar
  • 6,644