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MULCOX2: a general computer program for the Cox regression analysis of multivariate failure time data

D Y Lin1

  • 1Department of Biostatistics, University of Washington, Seattle 98195.

Computer Methods and Programs in Biomedicine
|August 1, 1993
PubMed
Summary
This summary is machine-generated.

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This study introduces MULCOX2, a statistical tool for analyzing multivariate failure time data common in biomedicine. It uses Cox proportional hazards models to analyze correlated failure times without assuming dependence structure.

Area of Science:

  • Biostatistics
  • Survival Analysis
  • Computational Biology

Background:

  • Multivariate failure time data arises from multiple events per subject or clustered subjects.
  • Analyzing correlated failure times is crucial in biomedical research.

Purpose of the Study:

  • To introduce MULCOX2, a software implementing a general statistical methodology for multivariate failure time data.
  • To provide a flexible approach for analyzing correlated failure times using Cox proportional hazards models.

Main Methods:

  • Formulates marginal distributions of multivariate failure times using Cox proportional hazards models.
  • Allows for identical or different baseline hazard functions.
  • Accommodates time-dependent covariates for statistical inference.

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Main Results:

  • MULCOX2 implements a marginal approach for analyzing multivariate failure times.
  • The software is general enough to include alternative analysis methods.
  • The program is efficient, running with minimal computation time on standard computers.

Conclusions:

  • MULCOX2 offers a robust and flexible method for analyzing complex survival data in biomedicine.
  • The software facilitates statistical inference on covariate effects in multivariate failure time settings.
  • The tool is accessible, requiring only a FORTRAN compiler.