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

A conditional Markov model for clustered progressive multistate processes under incomplete observation.

Richard J Cook1, Grace Y Yi, Ker-Ai Lee

  • 1Department of Statistics and Actuarial Science, University of Waterloo, 200 University Avenue West, Waterloo, Ontario, Canada N2L 3G1. rjcook@uwaterloo.ca

Biometrics
|June 8, 2004
PubMed
Summary
This summary is machine-generated.

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

Measurement properties of radiographic outcome measures in Psoriatic Arthritis: A systematic review from the GRAPPA-OMERACT initiative.

Seminars in arthritis and rheumatism·2021
Same author

Prologue: 2020 Annual Meeting of the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA).

The Journal of rheumatology·2021
Same author

European League Against Rheumatism (EULAR)/American College of Rheumatology (ACR) SLE classification criteria item performance.

Annals of the rheumatic diseases·2021
Same author

Incidence of and Risk Factors for Heart Failure in Patients With Psoriatic Disease: A Cohort Study.

Arthritis care & research·2021
Same author

Lower vitamin D is associated with metabolic syndrome and insulin resistance in systemic lupus: data from an international inception cohort.

Rheumatology (Oxford, England)·2021
Same author

Systematic literature review of non-topical treatments for early, untreated (systemic therapy naïve) psoriatic disease: a GRAPPA initiative.

Rheumatology advances in practice·2021

This study introduces a conditional Markov model to analyze clustered chronic disease progression in paired organs or systemic conditions. The model accounts for non-independent disease processes within subjects, improving damage modeling for intermittent patient observations.

Area of Science:

  • Biostatistics
  • Epidemiology
  • Chronic Disease Modeling

Background:

  • Chronic diseases often affect paired organ systems or multiple body locations, necessitating advanced modeling techniques.
  • Intermittent patient observation complicates the analysis of progressive, clustered disease processes.
  • Standard multistate Markov models do not adequately address the non-independence of disease progression within individuals.

Purpose of the Study:

  • To develop a statistical model capable of analyzing clustered progressive chronic diseases.
  • To account for non-independent disease processes within subjects in paired organ systems or systemic conditions.
  • To provide a flexible framework for modeling disease progression under intermittent observation.

Main Methods:

  • A conditional Markov model incorporating multiplicative random effects for transition intensities was developed.

Related Experiment Videos

  • Random effects for different transition intensities were allowed to be correlated within subjects.
  • The model was applied to patient data with psoriatic arthritis to characterize hand joint damage progression.

    • Main Results:

    • The conditional Markov model effectively addresses clustered disease processes by using correlated random effects.
    • The model successfully characterized the progressive course of damage in the hand joints of psoriatic arthritis patients.
    • The developed model provides a robust approach for analyzing complex disease progression patterns.

    Conclusions:

    • The conditional Markov model offers a significant advancement for modeling clustered chronic disease progression.
    • This approach is particularly valuable for diseases affecting paired organs or multiple body sites.
    • Future extensions can accommodate subpopulations and facilitate regression analysis for deeper insights.