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

MULCOX: a computer program for the Cox regression analysis of multiple failure time variables.

D Y Lin1

  • 1Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115.

Computer Methods and Programs in Biomedicine
|June 1, 1990
PubMed
Summary

MULCOX is a user-friendly FORTRAN program for analyzing regression effects in multivariate failure time data. It estimates Cox proportional hazards models and supports multivariate inference for multiple events per subject.

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

Checking the Cox Proportional Hazards Model with Interval-Censored Data.

Journal of the American Statistical Association·2025
Same author

Semiparametric Regression Analysis of Interval-Censored Multi-State Data with An Absorbing State.

Journal of the American Statistical Association·2025
Same author

Multiancestry Genome-Wide Association Study of Early Childhood Caries.

Journal of dental research·2024
Same author

Maximum likelihood estimation for semiparametric regression models with interval-censored multistate data.

Biometrika·2024
Same author

Multi-ancestry Genome-Wide Association Study of Early Childhood Caries.

medRxiv : the preprint server for health sciences·2024
Same author

Marginal proportional hazards models for multivariate interval-censored data.

Biometrika·2023

Area of Science:

  • Biostatistics
  • Survival Analysis
  • Computational Statistics

Background:

  • Analyzing time-to-event data with multiple events per subject presents statistical challenges.
  • Existing methods for multivariate failure time analysis can be computationally intensive.
  • The Cox proportional hazards model is a standard for survival analysis.

Purpose of the Study:

  • To introduce MULCOX, a FORTRAN program designed for the analysis of regression effects in multivariate failure time data.
  • To provide a user-friendly tool for implementing Cox proportional hazards models for multiple events.
  • To facilitate multivariate inference procedures in survival analysis.

Main Methods:

  • Formulates marginal distributions of multivariate failure time using Cox proportional hazards models.

Related Experiment Videos

  • Estimates maximum partial likelihood for regression parameters.
  • Calculates the joint covariance matrix for regression parameters.
  • Implements multivariate inference procedures.

    • Main Results:

    • MULCOX provides accurate estimation of marginal models and their joint covariance matrix.
    • The program demonstrates acceptable running times, even for large datasets.
    • It offers a practical solution for complex survival data analysis.

    Conclusions:

    • MULCOX is an efficient and user-friendly program for analyzing multivariate failure time data.
    • The program effectively handles multiple events per subject using Cox models.
    • It supports advanced statistical inference, making it valuable for biostatistical research.