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    Area of Science:

    • Biostatistics
    • Medical Informatics

    Background:

    • Right-censored survival data is common in medical research, requiring specialized analysis techniques.
    • Interactive tools are needed to simplify the analysis of complex survival data.

    Purpose of the Study:

    • To describe a SAS macro for interactive analysis of right-censored survival data.
    • To provide an easy-to-use program for generating survival curves and performing significance tests.

    Main Methods:

    • Development of a SAS macro for survival data analysis.
    • Implementation of interactive features for user-guided analysis.
    • Generation of Kaplan-Meier survival curves.
    • Inclusion of log-rank and generalized Wilcoxon significance tests.

    Main Results:

    • The SAS macro facilitates interactive analysis of right-censored survival data.
    • Kaplan-Meier survival curves can be generated on various graphics devices.
    • Log-rank and generalized Wilcoxon tests are performed for curve comparisons.
    • The program's intelligent design makes it easy to use, reducing user prompts.

    Conclusions:

    • The developed SAS macro offers an efficient and accessible method for analyzing medical survival data.
    • The tool simplifies the generation of survival curves and statistical significance testing.
    • Its ease of use enhances the adoption of advanced survival analysis techniques in medical studies.