Understanding Heterogeneity in Clinical Cohorts Using Normative Models: Beyond Case-Control Studies.

ABSTRACT:

Background

Despite many successes, the case-control approach is problematic in biomedical science. It introduces an artificial symmetry whereby all clinical groups (e.g., patients and control subjects) are assumed to be well defined, when biologically they are often highly heterogeneous. By definition, it also precludes inference over the validity of the diagnostic labels. In response, the National Institute of Mental Health Research Domain Criteria proposes to map relationships between symptom dimensions and broad behavioral and biological domains, cutting across diagnostic categories. However, to date, Research Domain Criteria have prompted few methods to meaningfully stratify clinical cohorts.

Methods

We introduce normative modeling for parsing heterogeneity in clinical c

SUBMITTER: Marquand AF 

PROVIDER: S-EPMC5023321 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature