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

Martin A. Lindquist, Michael E. Sobel

Research output: Contribution to journalComment/debatepeer-review

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.

Original languageEnglish (US)
Pages (from-to)334-336
Number of pages3
JournalNeuroImage
Volume57
Issue number2
DOIs
StatePublished - Jul 15 2011
Externally publishedYes

ASJC Scopus subject areas

  • Neurology
  • Cognitive Neuroscience

Fingerprint Dive into the research topics of 'Graphical models, potential outcomes and causal inference: Comment on Ramsey, Spirtes and Glymour'. Together they form a unique fingerprint.

Cite this