A FORTRAN program for testing trend and homogeneity in proportions.

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.