Graphical chain models and mental disorders: An application to pathological gambling

Di Serio Clelia, Sara Biffi

Research output: Contribution to journalArticle

Abstract

This paper demonstrates that graphical chain models are a suitable statistical tool for investigating the complex structure of a psychiatric disease. The article is motivated by a crucial question arising in psychometric studies on pathological gambling: how are depression and anxiety associated and how do they determine the personality of a pathological gambler? Starting from an initial recursive structure that reduces the complexity of the data, graphical chain models investigate both direct associations and indirect dependencies among the psychometric scales measuring the personality traits. A "behavioral chain" acting in pathological gambling is suggested by the final chain resulted from the Cox and Wermuth variables selection strategy (Cox and Wermuth, 1996).

Original languageEnglish
Pages (from-to)273-283
Number of pages11
JournalBiometrical Journal
Volume46
Issue number2
DOIs
Publication statusPublished - 2004

Keywords

  • Conditional independence
  • Graphical chain models
  • Pathological gambling

ASJC Scopus subject areas

  • Statistics and Probability

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