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

Interval estimation for individual categories in cumulative logit models.

Jeevanantham Rajeswaran1, Eugene H Blackstone

  • 1Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH 44195, USA. rajeswj@ccf.org

Statistics in Medicine
|March 16, 2007
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

Advances in managing the noninfected open chest after cardiac surgery: Negative-pressure wound therapy.

The Journal of thoracic and cardiovascular surgery·2019
Same author

Clinical Courses of HeartMate II Left Ventricular Assist Device Thrombosis.

ASAIO journal (American Society for Artificial Internal Organs : 1992)·2019
Same author

Intervention for arch obstruction after the Norwood procedure: Prevalence, associated factors, and practice variability.

The Journal of thoracic and cardiovascular surgery·2019
Same author

Variables of importance in the Scientific Registry of Transplant Recipients database predictive of heart transplant waitlist mortality.

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons·2019
Same author

Biatrial maze procedure versus pulmonary vein isolation for atrial fibrillation during mitral valve surgery: New analytical approaches and end points.

The Journal of thoracic and cardiovascular surgery·2018
Same author

Surgical treatment of right-sided infective endocarditis.

The Journal of thoracic and cardiovascular surgery·2018
Same journal

Predictor-Assisted Nonparametric Graphical Models With Multivariate Error-Prone Data.

Statistics in medicine·2026
Same journal

Optimizing Treatment Decision Estimation for Right-Censored Survival Data Through Parameter Transfer Learning.

Statistics in medicine·2026
Same journal

Latent Class Log-Linear Models for Estimating Diagnostic Test Accuracy Without a Gold Standard: A Simulation Study.

Statistics in medicine·2026
Same journal

Interpretable Bayesian Modeling for Multireader Multicase Studies: Addressing Overdispersion and Limited Sample Size in Diagnostic Enhancement Evaluation.

Statistics in medicine·2026
Same journal

Adaptive Sequential Multiple Hypotheses Testing for Concomitant Vaccine Safety Surveillance.

Statistics in medicine·2026
Same journal

Novel Distance Regression for Repeated Outcomes With Missing Data: Applications to Longitudinal and Crossover Studies of Microbiome Beta-Diversity.

Statistics in medicine·2026
See all related articles

This study compares frequentist, Bayesian, and bootstrap methods for calculating confidence intervals in ordinal logistic regression. These methods are crucial for understanding graded outcomes like heart valve regurgitation.

Area of Science:

  • Biostatistics
  • Statistical Modeling
  • Medical Data Analysis

Background:

  • Ordinal responses are common in medical research, requiring specialized statistical models.
  • Cumulative logit link models are frequently used for analyzing such data.
  • Accurate confidence intervals are essential for interpreting model results.

Purpose of the Study:

  • To derive and compute confidence intervals for category probabilities in ordinal cumulative logit models.
  • To compare the performance of frequentist, Bayesian, and bootstrap approaches.
  • To illustrate the application in assessing heart valve prosthesis regurgitation.

Main Methods:

  • Derivation of confidence intervals using three distinct statistical paradigms.
  • Evaluation of methods based on coverage probabilities.

Related Experiment Videos

  • Application to longitudinal data from patients undergoing aortic valve replacement.

    • Main Results:

    • Confidence intervals were successfully computed for all three approaches.
    • Coverage probabilities were analyzed to assess method performance.
    • The methods were demonstrated on a real-world clinical dataset.

    Conclusions:

    • The study provides a comparative analysis of statistical approaches for ordinal models.
    • Findings aid in selecting appropriate methods for confidence interval estimation.
    • The methods are applicable to clinical assessments of prosthetic heart valves.