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

Analysis of failure time data with dependent interval censoring.

Dianne M Finkelstein1, William B Goggins, David A Schoenfeld

  • 1Biostatistics Center, Massachusetts General Hospital, Boston 02114, USA. finkel@biostat.harvard.edu

Biometrics
|June 20, 2002
PubMed
Summary

This study introduces a new statistical method to analyze screening data affected by informative censoring, ensuring unbiased failure time estimates. The approach is validated using data from HIV-infected subjects in an AIDS Clinical Trials Group study.

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

Effects of Omega-3 Fatty Acid Treatment on Risk for Atrial Fibrillation: An Updated Meta-Analysis of 34 Trials including 114,326 Individuals.

medRxiv : the preprint server for health sciences·2025
Same author

Phenotypic and functional characterization of tumor-reactive T cells in malignant pleural effusions.

bioRxiv : the preprint server for biology·2025
Same author

PRAME is not a frequently expressed antigen in renal cell carcinoma.

BJUI compass·2025
Same author

Akt Activation With IPL344 Treatment for Amyotrophic Lateral Sclerosis: First in Human, Open-Label Study.

Muscle & nerve·2025
Same author

Decoy-resistant IL-18 reshapes the tumor microenvironment and enhances rejection by anti-CTLA-4 in renal cell carcinoma.

JCI insight·2024
Same author

GP100 expression is variable in intensity in melanoma.

Cancer immunology, immunotherapy : CII·2024

Area of Science:

  • Biostatistics
  • Epidemiology
  • Survival Analysis

Background:

  • Screening data often presents challenges due to informative censoring, where the probability of screening depends on the event of interest.
  • Interval censoring occurs when subjects do not attend all scheduled visits, complicating failure time analysis.

Purpose of the Study:

  • To develop a robust statistical method for analyzing interval-censored screening data with informative censoring.
  • To obtain unbiased estimates of the nonparametric failure time function.
  • To extend the method for estimating regression parameters in discrete-time proportional hazards models.

Main Methods:

  • A novel statistical model is proposed to account for the dependence between screening and the event of interest.
  • The method adjusts for informative censoring to correct bias in failure time estimation.

Related Experiment Videos

  • An extension is provided for proportional hazards regression analysis.

    • Main Results:

    • The developed method provides an unbiased estimate of the nonparametric failure time function.
    • The extension allows for accurate estimation of regression parameters in discrete-time proportional hazards models.
    • The method's utility is demonstrated on a real-world dataset.

    Conclusions:

    • The proposed method effectively addresses informative censoring in interval-censored screening data.
    • This approach yields reliable estimates for failure time and regression parameters in survival analysis.
    • The application to cytomegalovirus shedding in HIV-infected individuals highlights its practical value.