title: Comorbid science?
abstract: We agree with Cramer et al.'s goal of the discovery of causal relationships, but we argue that the authors' characterization of latent variable models (as deployed for such purposes) overlooks a wealth of extant possibilities. We provide a preliminary analysis of their data, using existing algorithms for causal inference and for the specification of latent variable models.
authors.affiliation: Department of Philosophy, Carnegie Mellon University, Pittsburgh, PA 15213, USA. ddanks@cmu.edu
authors.forename: David
authors.initials: D
authors.lastname: Danks
authors.forename: Stephen
authors.initials: S
authors.lastname: Fancsali
authors.forename: Clark
authors.initials: C
authors.lastname: Glymour
authors.forename: Richard
authors.initials: R
authors.lastname: Scheines
mesh_terms: D000465:Algorithms; D006801:Humans; D001523:Mental Disorders / Q000145:classification / Q000175:diagnosis*; D008960:Models, Psychological