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Home / Graphical models, potential outcomes and causal inference: comment on Ramsey, Spirtes and Glymour.

Graphical models, potential outcomes and causal inference: comment on Ramsey, Spirtes and Glymour.

TitleGraphical models, potential outcomes and causal inference: comment on Ramsey, Spirtes and Glymour.
Publication TypeJournal Article
Year of Publication2011
AuthorsLindquist MA, Sobel ME
JournalNeuroimage
Volume57
Issue2
Pagination334-6
Date Published2011 Jul 15
ISSN1095-9572
KeywordsArtifacts, Brain, Computer Simulation, Humans, Image Interpretation, Computer-Assisted, Meta-Analysis as Topic
Abstract

Ramsey, Spirtes and Glymour (RSG) critique a method proposed by Neumann et al. (2010) for the discovery of functional networks from fMRI meta-analysis data. We concur with this critique, but are unconvinced that directed graphical models (DGMs) are generally useful for estimating causal effects. We express our reservations using the "potential outcomes" framework for causal inference widely used in statistics.

DOI10.1016/j.neuroimage.2010.10.020
Alternate JournalNeuroimage
PubMed ID20970507
PubMed Central IDPMC4041369
Grant ListRC1 DA028608 / DA / NIDA NIH HHS / United States
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