Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Statistical issues in assessing comorbidity

H C Kraemer1

  • 1Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, CA 94305, USA.

Statistics in Medicine
|April 30, 1995
PubMed
Summary

This study defines three types of non-random comorbidity: epidemiologic, clinical, and familial. It focuses on measuring epidemiologic comorbidity and exploring its causes, like shared risk factors.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Absence of evidence for bornavirus infection in schizophrenia, bipolar disorder and major depressive disorder.

Molecular psychiatry·2012
Same author

Simultaneous evaluation of the harms and benefits of treatments in randomized clinical trials: demonstration of a new approach.

Psychological medicine·2011
Same author

Who is really at risk? Identifying risk factors for subthreshold and full syndrome eating disorders in a high-risk sample.

Psychological medicine·2011
Same author

Predictors and moderators of time to remission of major depression with interpersonal psychotherapy and SSRI pharmacotherapy.

Psychological medicine·2010
Same author

Is late-onset schizophrenia a subtype of schizophrenia?

Acta psychiatrica Scandinavica·2010
Same author

Interrater reliability of EEG-video monitoring.

Neurology·2009

Area of Science:

  • Epidemiology
  • Psychiatry
  • Biostatistics

Background:

  • Comorbidity, the co-occurrence of disorders, is often non-random.
  • Understanding the nature of this non-randomness is crucial for accurate diagnosis and treatment.
  • Existing frameworks may not fully capture the distinct pathways leading to comorbidity.

Purpose of the Study:

  • To define and differentiate three distinct types of non-random comorbidity: epidemiologic, clinical, and familial.
  • To focus on the measurement and interpretation of epidemiologic comorbidity.
  • To identify and discuss potential sources of epidemiologic comorbidity.

Main Methods:

  • Conceptual definition of three comorbidity types.
  • Discussion of measurement and interpretation strategies for epidemiologic comorbidity.
  • Exploration of research designs and analytical approaches to identify sources.

Main Results:

  • Established definitions for epidemiologic, clinical, and familial non-random comorbidity.
  • Highlighted the importance of epidemiologic comorbidity as a common concern.
  • Identified shared risk factors and diagnostic uncertainty as key contributors to epidemiologic comorbidity.

Conclusions:

  • Non-random comorbidity is multifaceted, existing in epidemiologic, clinical, and familial forms.
  • Epidemiologic comorbidity warrants focused research attention due to its prevalence and identifiable sources.
  • Future research should employ specific designs to elucidate the origins of comorbidity.

Related Experiment Videos