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

Nonparametric test for doubly interval-censored failure time data.

J Sun1

  • 1Department of Statistics, University of Missouri, 222 Math. Sci. Building, Columbia, MO 65211, USA. tsun@stat.missouri.edu

Lifetime Data Analysis
|January 5, 2002
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

The preparation and crystallization of Fab fragments of a family of mouse esterolytic catalytic antibodies and their complexes with a transition-state analogue.

Acta crystallographica. Section D, Biological crystallography·2001
Same author

A short course of methylprednisolone immunosuppression inhibits both rejection and spontaneous acceptance of rat liver allografts.

Transplantation·2001
Same author

v-Src transformation is mediated through farnesylated proteins.

The Journal of surgical research·2001
Same author

Quantitative analysis of bacterial gene expression by using the gusA reporter gene system.

Applied and environmental microbiology·2001
Same author

Decrease in cell surface galactose residues of Schizosaccharomyces pombe enhances its coflocculation with Pediococcus damnosus.

Applied and environmental microbiology·2001
Same author

Nucleocytoplasmic distribution of the ovalbumin serpin PI-9 requires a nonconventional nuclear import pathway and the export factor Crm1.

Molecular and cellular biology·2001
Same journal

Shared frailty sieve estimation for dependent left truncated and interval censored data.

Lifetime data analysis·2026
Same journal

Functional win-fractions regression models for composite outcomes.

Lifetime data analysis·2026
Same journal

Variable selection in causal semiparametric transformation models with all-or-nothing treatment compliance.

Lifetime data analysis·2026
Same journal

Correction to: A uniformisation-driven algorithm for inference-related estimation of a phase-type ageing model.

Lifetime data analysis·2026
Same journal

Unobserved heterogeneity in threshold regression based on the hitting times of a reflected Brownian motion for recurrent hypoglycemia.

Lifetime data analysis·2026
Same journal

Variable selection with broken adaptive ridge regression for interval-censored competing risks data.

Lifetime data analysis·2026
See all related articles

This study generalizes a nonparametric test for comparing failure time distributions with doubly interval-censored data. Simulations evaluate the generalized test for analyzing time between two events when both are observed within intervals.

Area of Science:

  • Biostatistics
  • Survival Analysis
  • Statistical Methods

Background:

  • Comparing discrete failure time distributions is crucial in survival analysis.
  • Doubly interval-censored data, where both event occurrences are observed within intervals, presents unique analytical challenges.
  • Existing methods, like Sun's (1996) nonparametric test, are limited to interval-censored data.

Purpose of the Study:

  • To generalize Sun's (1996) nonparametric test procedure for doubly interval-censored failure time data.
  • To provide a robust statistical method for comparing survival distributions when the time between two related events is interval-censored.
  • To evaluate the performance of the generalized test through simulation studies.

Main Methods:

  • Generalization of a nonparametric test procedure originally developed for interval-censored data.

Related Experiment Videos

  • Application to survival time data defined as the elapsed time between two related events.
  • Evaluation of the generalized test's efficacy using simulation studies.

    • Main Results:

    • A novel generalized nonparametric test procedure has been developed for doubly interval-censored failure time data.
    • The study provides a method to compare discrete failure time distributions under complex censoring schemes.
    • Simulation results are used to assess the performance characteristics of the proposed generalized test.

    Conclusions:

    • The generalized test offers a valuable tool for analyzing doubly interval-censored survival data.
    • This research extends existing nonparametric methods to accommodate more complex data structures in survival analysis.
    • The findings contribute to the statistical methodology for handling time-to-event data with interval censoring.