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Related Experiment Videos

A computer program for regression analysis of ordered categorical repeated measurements

C S Davis1, D B Hall

  • 1Department of Preventive Medicine and Environmental Health, University of Iowa, Iowa City 52242, USA.

Computer Methods and Programs in Biomedicine
|November 1, 1996
PubMed
Summary

RMORD is a FORTRAN program for analyzing clustered ordinal data. It extends the proportional-odds model to correlated responses, accommodating missing data and covariates for robust statistical analysis.

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Area of Science:

  • Biostatistics
  • Statistical Software
  • Longitudinal Data Analysis

Background:

  • Ordinal data analysis is crucial in many scientific fields.
  • Existing methods may not adequately handle correlated responses within clusters.
  • The proportional-odds model is a standard for ordinal data but needs extension for clustered observations.

Purpose of the Study:

  • To introduce RMORD, a FORTRAN program for analyzing clustered ordinal data.
  • To implement the Stram, Wei, and Ware method for correlated proportional-odds models.
  • To provide a user-friendly tool for researchers dealing with complex ordinal datasets.

Main Methods:

  • Utilizes an extension of the proportional-odds model for correlated ordinal responses.
  • Maximizes occasion-specific likelihood functions to fit regression models.

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  • Calculates joint asymptotic distributions and consistent covariance matrix estimators.

    • Main Results:

    • RMORD effectively analyzes clustered ordinal data with correlated responses.
    • The program accommodates missing data and within-cluster covariates.
    • Demonstrates flexibility across various computing platforms (microcomputers to mainframes).

    Conclusions:

    • RMORD offers a practical solution for analyzing correlated ordinal data.
    • The software facilitates the application of advanced statistical methods in research.
    • Its ability to handle missing data and covariates enhances its utility.