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A FORTRAN program for testing trend and homogeneity in proportions.

A K Thakur, K J Berry, P W Mielke

    Computer Programs in Biomedicine
    |January 1, 1985
    PubMed
    Summary

    This study presents a FORTRAN program to test for linear trends and homogeneity in proportions. The tool uses established statistical methods for reliable analysis of proportion data.

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    Area of Science:

    • Biostatistics
    • Statistical Computing
    • Epidemiology

    Background:

    • Analyzing trends and homogeneity in proportional data is crucial in various scientific fields.
    • Existing methods may require specialized software or complex implementation.

    Purpose of the Study:

    • To provide a user-friendly FORTRAN program for assessing linear trends and homogeneity in proportions.
    • To offer a computational tool for researchers working with proportional data.

    Main Methods:

    • The program implements the Cochran-Armitage test for linear trend analysis.
    • Homogeneity is assessed using an overall chi-squared (X2) test.
    • Pairwise comparisons for homogeneity are performed using the Fisher-Irwin exact test.

    Main Results:

    • The developed FORTRAN program facilitates the testing of linear trends in proportions.
    • It enables the evaluation of overall homogeneity and detailed pairwise comparisons.
    • The program is designed for straightforward implementation on diverse computing environments.

    Conclusions:

    • This FORTRAN program offers a practical solution for analyzing trends and homogeneity in proportional data.
    • Its ease of implementation makes it accessible for a wide range of scientific applications.
    • The program supports robust statistical analysis of proportion data through established methods.

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