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

Testing the proportional odds model for interval-censored data.

Jianguo Sun1, Liuquan Sun, Chao Zhu

  • 1Department of Statistics, University of Missouri, 146 Middlebush Hall, Columbia, MO 65211, USA. sunj@missouri.edu

Lifetime Data Analysis
|December 13, 2006
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

A Simple Score to Predict New-Onset Atrial Fibrillation After Ablation of Typical Atrial Flutter.

The Canadian journal of cardiology·2024
Same author

Co-expression of metabolites and sensory attributes through weighted correlation network analysis to explore flavor-contributing factors in various <i>Pyrus</i> spp. Cultivars.

Food chemistry: X·2024
Same author

Selenium nanoparticles in aquaculture: Unique advantages in the production of Se-enriched grass carp (<i>Ctenopharyngodon idella</i>).

Animal nutrition (Zhongguo xu mu shou yi xue hui)·2024
Same author

Rutin promotes osteogenic differentiation of mesenchymal stem cells (MSCs) by increasing ECM deposition and inhibiting p53 expression.

Aging·2024
Same author

Evaluation of Mucosal Healing in Crohn's Disease: Radiomics Models of Intestinal Wall and Mesenteric Fat Based on Dual-Energy CT.

Journal of imaging informatics in medicine·2024
Same author

CDC123 promotes Hepatocellular Carcinoma malignant progression by regulating CDKAL1.

Pathology, research and practice·2024

This study introduces a new goodness-of-fit test for the proportional odds model, crucial for analyzing interval-censored failure time data in survival studies. The proposed method generalizes existing techniques and is validated through simulations.

Area of Science:

  • Biostatistics
  • Survival Analysis
  • Statistical Modeling

Background:

  • Interval-censored failure time data are common in periodic follow-up survival studies.
  • The proportional odds model is valuable for survival data analysis due to its monotonic hazard ratio property.
  • Existing goodness-of-fit tests may require adaptation for complex data structures.

Purpose of the Study:

  • To develop and evaluate a goodness-of-fit test for the proportional odds model specifically for K-sample interval-censored failure time data.
  • To generalize a previously established statistical procedure for model testing.
  • To assess the performance of the proposed test through simulation.

Main Methods:

  • A novel goodness-of-fit test procedure is proposed.

Related Experiment Videos

  • The procedure is a generalization of the Dauxois and Kirmani (2003) method.
  • Asymptotic distribution of the test statistic is derived.
  • Simulation studies are conducted to evaluate the test's properties.

    • Main Results:

    • The asymptotic distribution of the proposed goodness-of-fit test is established.
    • Simulation studies demonstrate the properties and effectiveness of the test.
    • The generalized procedure provides a robust method for model validation.

    Conclusions:

    • The proposed goodness-of-fit test is a valuable tool for validating the proportional odds model with K-sample interval-censored data.
    • This method enhances the reliability of survival data analysis in periodic follow-up studies.
    • The established asymptotic theory and simulation results support its practical application.