Question

Controlling confounders in a causal diagram. Isn't the backdoor criterion sufficient?

score 361 · Answer 1 · 2026-03-22 02:54:08

361

Views

Controlling confounders in a causal diagram. Isn't the backdoor criterion sufficient?

Published on 22 Mar 2026 - 2:54

score 126 · Answer 2 · 2026-03-22 19:46:13

126

Views

Combining P-Values from multiple trials of the same experiment

Published on 22 Mar 2026 - 19:46

score 1k · Answer 3 · 2026-03-22 11:21:55

1k

Views

Causal Inference A Primer Study Question

Published on 22 Mar 2026 - 11:21

score 822 · Answer 4 · 2026-03-23 01:09:37

822

Views

Responses to the study questions from Causal Inference in Statistics (by Judea Pearl).

Published on 23 Mar 2026 - 1:09

score 197 · Answer 5 · 2026-03-22 03:36:33

197

Views

Prove d-separation path is blocked as long as NOT conditioning on the collider

Published on 22 Mar 2026 - 3:36

score 58 · Answer 6 · 2026-03-22 18:19:30

58

Views

For a structured causal model, if two RVs are conditionally independent on X, are they also independent when only one of them is conditioned on X?

Published on 22 Mar 2026 - 18:19

score 51 · Answer 7 · 2026-03-23 11:12:05

51

Views

Book of Why: $p(L | D, Z)$ explanation

Published on 23 Mar 2026 - 11:12

score 685 · Answer 8 · 2026-03-22 11:45:37

685

Views

On the Derivation of Judea Pearl's Front-Door Adjustment Formula in The Book of Why

Published on 22 Mar 2026 - 11:45

score 60 · Answer 9 · 2026-03-22 06:28:09

60

Views

basics of causality: miguel hernan book doubt

Published on 22 Mar 2026 - 6:28

score 244 · Answer 10 · 2026-03-22 07:11:42

244

Views

How to prove d-separation implies conditional independence?

Published on 22 Mar 2026 - 7:11

score 102 · Answer 11 · 2026-03-22 08:34:43

102

Views

Graphoid axioms properties doesn't make sense to me.

Published on 22 Mar 2026 - 8:34

score 318 · Answer 12 · 2026-03-22 06:23:42

318

Views

Violation of Faithfulness in Structural Causal Models

Published on 22 Mar 2026 - 6:23

score 189 · Answer 13 · 2026-03-22 13:42:37

189

Views

Find if a random variable is a proxy variable using neural networks

Published on 22 Mar 2026 - 13:42

score 98 · Answer 14 · 2026-03-23 01:55:54

98

Views

Causality/Non-Causality, One/Two-sided integral transform (Laplace, Fourier), Discrete case

Published on 23 Mar 2026 - 1:55

score 150 · Answer 15 · 2026-03-22 07:12:01

150

Views

Formal definition of potential outcomes in causal inference

Published on 22 Mar 2026 - 7:12

List Question

Controlling confounders in a causal diagram. Isn't the backdoor criterion sufficient?

Combining P-Values from multiple trials of the same experiment

Causal Inference A Primer Study Question

Responses to the study questions from Causal Inference in Statistics (by Judea Pearl).

Prove d-separation path is blocked as long as NOT conditioning on the collider

For a structured causal model, if two RVs are conditionally independent on X, are they also independent when only one of them is conditioned on X?

Book of Why: $p(L | D, Z)$ explanation

On the Derivation of Judea Pearl's Front-Door Adjustment Formula in The Book of Why

basics of causality: miguel hernan book doubt

How to prove d-separation implies conditional independence?

Graphoid axioms properties doesn't make sense to me.

Violation of Faithfulness in Structural Causal Models

Find if a random variable is a proxy variable using neural networks

Causality/Non-Causality, One/Two-sided integral transform (Laplace, Fourier), Discrete case

Formal definition of potential outcomes in causal inference

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