Explanation in Causal Inference

VanderWeele, T. J. (2015). Explanation in Causal Inference: Methods for Mediation and Interaction. Oxford University Press.

Type

Book

Intellectual base

Review or monograph

Year

2015

Link

https://global.oup.com/academic/product/explanation-in-causal-inference-9780199325870

Cited from

statistics_experimental_design

Cited by

3 citations across 3 artifacts.

Each citation links to the sentence it supports in the citing article.

Primes

• Confounding

  • This sourceTreats mediation and interaction within the causal-inference framework, including confounding of mediator–outcome relationships. (Bibliography only — link added.)

• Correlated-Source Attribution Failure
  • Causal mediation: when candidate mediators are correlated, total mediation is well-identified but per-mediator contributions cannot be separately quantified.

    This sourceWith correlated candidate mediators, total mediation is identified while per-mediator contributions cannot be separately quantified. (

Mechanisms

• Treatment Interaction Analysis
  • Its strength is improved attribution: it dissolves the false "it worked / it failed" verdict by showing that a treatment's effect is conditional, and it is the standard way to detect an enabling co-treatment or a harmed subgroup that an average effect buries.

    This sourceExplains interaction as conditional or heterogeneous treatment effect and describes methods for identifying subgroups for whom treatment is beneficial or harmful.

Verification

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Links previously used in the corpus

Before the registry existed this work was also linked 1 other way.

• https://books.google.com/books/about/Explanation_in_Causal_Inference.html?id=Ob_coQEACAAJ ×1

Registry ID ref:45683ee5ac54 · see in the full table