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

Multiple imputation for threshold-crossing data with interval censoring

F J Dorey1, R J Little, N Schenker

  • 1Division of Orthopaedic Surgery, UCLA School of Medicine 90024.

Statistics in Medicine
|September 15, 1993
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

Pulmonary vein reconnection and repeat ablation characteristics following cryoballoon-compared to radiofrequency-based pulmonary vein isolation.

Journal of cardiovascular electrophysiology·2024
Same author

[Acute ischemic stroke as initial presentation-rare cardiogenic cause].

Medizinische Klinik, Intensivmedizin und Notfallmedizin·2020
Same author

Living with the Normal.

Mental health (London)·2017
Same author

Hyperglycaemia is associated with impaired pulsatile insulin secretion: effect of basal insulin therapy.

Diabetes, obesity & metabolism·2012
Same author

The design and conduct of clinical trials to limit missing data.

Statistics in medicine·2012
Same author

Fertility exposure analysis: A new method for assessing the contribution of proximate determinants to fertility differentials.

Population studies·2011
Same journal

Optimal Weighted Tests for Replication Studies and the 'Two-Trials Rule' With Multiple Hypotheses.

Statistics in medicine·2026
Same journal

Identifiable Copula-Double-Cox Models: A Fully Parametric Framework for Dependent Right-Censored Survival Data.

Statistics in medicine·2026
Same journal

Moving From Individualized Risk-Based Prevention to Benefit-Based Prevention: Estimating Individualized Life-Years Gained From Prevention Services as a Basis for Eligibility.

Statistics in medicine·2026
Same journal

A Mixture of Distributed Lag Non-Linear Models to Account for Spatially Heterogeneous Exposure-Lag-Response Associations.

Statistics in medicine·2026
Same journal

Practical Considerations for Gaussian Process Modeling for Causal Inference in Quasi-Experimental Studies With Panel Data.

Statistics in medicine·2026
Same journal

Covariate Adjustment for Wilcoxon Two Sample Statistic and Test.

Statistics in medicine·2026
See all related articles

This study introduces novel statistical methods for analyzing interval-censored threshold-crossing data. These methods use multiple imputation to accurately model event times, improving analyses in medical statistics.

Area of Science:

  • Biostatistics
  • Medical Statistics
  • Survival Analysis

Background:

  • Medical statistics frequently analyze time-to-threshold crossing events.
  • Such data are often interval-censored, known only within specific intervals between observations.
  • Accurate analysis of these events is crucial for understanding disease progression and treatment outcomes.

Purpose of the Study:

  • To develop and present new statistical methods for analyzing interval-censored threshold-crossing data.
  • To address the challenges posed by data where the exact time of threshold crossing is unknown.
  • To provide robust analytical techniques for event-history studies.

Main Methods:

  • Proposed methods utilize multiple imputation for interval-censored threshold-crossing times.

Related Experiment Videos

  • Imputation models incorporate observed data values at recorded time points (e.g., clinic visits).
  • Comparison with standard practice of right-endpoint imputation is performed.

    • Main Results:

    • The proposed multiple imputation methods provide accurate analyses of threshold-crossing data.
    • Applied to hip replacement and prostate-specific antigen (PSA) assay data, the methods demonstrated effectiveness.
    • Analyses of multiply imputed data automatically account for imputation uncertainty.

    Conclusions:

    • New multiple imputation techniques offer a robust approach for analyzing interval-censored threshold-crossing data.
    • These methods improve upon traditional imputation strategies, such as right-endpoint imputation.
    • The developed methods are applicable to diverse medical research areas, including orthopedics and oncology.