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

Estimating incidence and diagnostic error rates for bivariate progressive processes

M A Espeland1, J T Rushing, A De Vault

  • 1Department of Public Health Sciences, Bowman Gray School of Medicine, Winston-Salem, North Carolina 27157.

Biometrics
|December 1, 1993
PubMed
Summary

This study introduces a new model to estimate disease progression times when diagnostic errors occur. The method accounts for correlated errors and incidences, improving accuracy in medical research.

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

The relationship between repeated measurements of HbA<sub>1c</sub> and risk of coronary events among the common haptoglobin phenotype groups: the Action for Health in Diabetes (Look AHEAD) study.

Cardiovascular diabetology·2024
Same author

Erratum to: Association between Modifiable Risk Factors and Levels of Blood-Based Biomarkers of Alzheimer's and Related Dementias in the Look AHEAD Cohort.

JAR life·2024
Same author

Association between Modifiable Risk Factors and Levels of Blood-Based Biomarkers of Alzheimer's and Related Dementias in the Look AHEAD Cohort.

JAR life·2024
Same author

Daytime Sleepiness Is Associated with Lower Cognitive Scores: The Look AHEAD Study.

JAR life·2023
Same author

Interactions between estradiol, diabetes, and brain aging and the risk for cognitive impairment.

Climacteric : the journal of the International Menopause Society·2021
Same author

Sustaining eHealth engagement in a multi-year weight gain prevention intervention.

Obesity science & practice·2019

Area of Science:

  • Biostatistics
  • Medical Research Methodology
  • Epidemiology

Background:

  • Estimating time to event in bivariate progressive processes is crucial in medical research.
  • Diagnostic errors can confound the interpretation of event times in longitudinal studies.
  • Existing methods may not adequately address correlated incidence and diagnostic error.

Purpose of the Study:

  • To propose a composite model for parameterizing incidence and error distributions in bivariate categorical processes.
  • To develop an Expectation-Maximization (EM) algorithm for this composite model.
  • To apply the methodology to real-world medical data, assessing incidence, error rates, and correlations.

Main Methods:

  • Development of a composite statistical model for bivariate incidence and diagnostic error.

Related Experiment Videos

  • Implementation of an EM algorithm to estimate model parameters, allowing for categorical covariates.
  • Application to prospective data on ocular lens opacities and clinical evaluations of sexual maturation.

    • Main Results:

    • The proposed model effectively estimates incidence, characterizes error rates, and assesses bivariate correlations.
    • Demonstrated applicability in both symmetric (ocular lens opacities) and asymmetric (sexual maturation) scenarios.
    • The EM algorithm provides a robust framework for analyzing data with diagnostic uncertainty.

    Conclusions:

    • The composite model and EM algorithm offer a valuable tool for analyzing bivariate progressive processes with diagnostic error.
    • This methodology enhances the accurate estimation of disease progression and diagnostic accuracy in medical studies.
    • Improved understanding of incidence and error dynamics can lead to better clinical trial design and patient management.