Literature DB >> 21835247

Counterfactuals, graphical causal models and potential outcomes: response to Lindquist and Sobel.

Clark Glymour1.   

Abstract

Lindquist and Sobel claim that the graphical causal models they call "agnostic" do not imply any counterfactual conditionals. They doubt that "causal effects" can be discovered using graphical causal models typical of SEMs, DCMs, Bayes nets, Granger causal models, etc. Each of these claims is false or exaggerated. They recommend instead that investigators adopt the "potential outcomes" framework. The potential outcomes framework is an obstacle rather than an aid to discovering causal relations in fMRI contexts.
Copyright © 2011 Elsevier Inc. All rights reserved.

Mesh:

Year:  2011        PMID: 21835247     DOI: 10.1016/j.neuroimage.2011.07.071

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  2 in total

1.  Cloak and DAG: a response to the comments on our comment.

Authors:  Martin A Lindquist; Michael E Sobel
Journal:  Neuroimage       Date:  2011-11-17       Impact factor: 6.556

2.  Heterogeneous Graphical Granger Causality by Minimum Message Length.

Authors:  Kateřina Hlaváčková-Schindler; Claudia Plant
Journal:  Entropy (Basel)       Date:  2020-12-11       Impact factor: 2.524

  2 in total

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