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Related Experiment Videos

Microcomputer-assisted multivariate survival data analysis using Cox's proportional hazards regression model.

N Campos-Filho1, E L Franco

  • 1Epidemiology and Biostatistics Unit, Ludwig Institute for Cancer Research, Paulo, Brazil.

Computer Methods and Programs in Biomedicine
|February 1, 1990
PubMed
Summary
This summary is machine-generated.

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COXSURV is a microcomputer program for survival analysis in clinical trials and epidemiology. It offers multivariate modeling and automatic analyses for confounder summarization, aiding in failure-time data interpretation.

Area of Science:

  • Biostatistics
  • Epidemiology
  • Clinical Trials

Background:

  • Survival and failure-time data are crucial in clinical trials and epidemiology.
  • Accurate statistical analysis is needed to interpret this data effectively.
  • Existing software may lack comprehensive features for multivariate modeling and data exploration.

Purpose of the Study:

  • To introduce COXSURV, a microcomputer program designed for proportional hazards multiple regression analysis.
  • To provide a user-friendly tool with advanced capabilities for survival data analysis.
  • To facilitate both clinical trial and retrospective epidemiological study analyses.

Main Methods:

  • Menu-driven interface with powerful variable factoring and data exploration.
  • Batch mode for automatic uni- or multivariate analyses and confounder summarization.

Related Experiment Videos

  • Partial likelihood method supporting discrete or continuous time scales with exact or robust approximation for tied data.

    • Main Results:

    • COXSURV enables multivariate modeling and predictive model selection via a step-up algorithm.
    • The program calculates standard model fitting statistics for overall or stratified analyses.
    • Data layout files are compatible with other epidemiologic analysis software.

    Conclusions:

    • COXSURV is a versatile and powerful tool for analyzing survival and failure-time data.
    • Its features support robust statistical modeling and data interpretation in clinical and epidemiological research.
    • The program enhances the efficiency and accuracy of survival data analysis.