4.7 Editorial Material

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

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NEUROIMAGE
卷 57, 期 2, 页码 334-336

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ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2010.10.020

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  1. NIDA NIH HHS [RC1 DA028608] Funding Source: Medline

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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. (C) 2010 Elsevier Inc. All rights reserved.

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