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

Semiparametric methods for clustered recurrent event data.

Douglas E Schaubel1, Jianwen Cai

  • 1Department of Biostatistics, University of Michigan, Ann Arbor, 48109-2029, USA. deschau@umich.edu

Lifetime Data Analysis
|September 1, 2005
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

Longitudinal Predictors of Dental Caries, Periodontal Disease and Oral Health Quality of Life in People with HIV on ART: The OHART study.

Research square·2026
Same author

Do Prolonged Donor Warm Ischemic Times Correlate with Kidney Transplant Outcomes? The Largest Study of Donation After Circulatory Death Donors in the United States.

Transplantation·2026
Same author

A Novel Measurement of Altered Achilles Subtendon Load Sharing 6-12 Months Following Rupture.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society·2026
Same author

Semiparametric regression methods for temporal processes subject to multiple sources of censoring.

The Canadian journal of statistics = Revue canadienne de statistique·2026
Same author

Cognitive impairment is associated with poorer oral health in people with HIV: evidence from a pilot study.

Quintessence international (Berlin, Germany : 1985)·2025
Same author

Low prevalence of glomerulonephritis in transplanted kidneys from deceased donors with active hepatitis C virus infection.

Kidney international·2025
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 introduces new statistical methods for analyzing recurrent events in clustered data, addressing within-subject and between-subject dependencies. These methods improve the analysis of complex biomedical event data, such as technique failures in dialysis patients.

Area of Science:

  • Biostatistics
  • Epidemiology
  • Health Services Research

Background:

  • Recurrent events in biomedical studies often exhibit dependencies within subjects and across clusters (e.g., multi-center studies).
  • Standard statistical models may not adequately account for these complex correlation structures.

Purpose of the Study:

  • To propose novel semi-parametric proportional rates/means models for clustered recurrent event data.
  • To develop methods for estimating regression parameters and baseline functions under unspecified dependence structures.

Main Methods:

  • Developed estimating equations for regression parameters in two models: one with a common baseline rate and another with cluster-specific baseline rates.
  • Derived asymptotic distributions for model parameters.
  • Assessed finite-sample properties via simulation studies.

Related Experiment Videos

Main Results:

  • The proposed methods provide robust parameter estimation for clustered recurrent event data.
  • The study successfully applied the methods to analyze technique failures in Canadian dialysis patients.

Conclusions:

  • The developed statistical methods effectively handle complex dependencies in clustered recurrent event data.
  • These methods offer valuable tools for analyzing real-world biomedical data, enhancing understanding of event occurrences in grouped populations.