Quantifying psychiatric comorbidity

  title={Quantifying psychiatric comorbidity},
  author={Laura Batstra and Elisabeth H. Bos and Jan Neeleman},
  journal={Social Psychiatry and Psychiatric Epidemiology},
Background Comorbidity research in psychiatric epidemiology mostly uses measures of association like odds or risk ratios to express how strongly disorders are linked. In contrast, chronic disease epidemiologists increasingly use measures of clustering, like multimorbidity (cluster) coefficients, to study comorbidity. This article compares measures of association and clustering. Methods Narrative review, algebraical examples, a secondary analysis of an existing dataset and a pooled analysis of… CONTINUE READING


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