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[Biometry, data registration and data processing in rheumatology]

P Fischer, P Wienicki

    Zeitschrift Fur Die Gesamte Innere Medizin Und Ihre Grenzgebiete
    |April 1, 1981
    PubMed
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    This study outlines methods for evaluating rheumatism activity, function, and progression using statistical analysis. It details repeatable data recording and analysis techniques for research and clinical applications.

    Area of Science:

    • Rheumatology
    • Biostatistics
    • Medical Informatics

    Background:

    • Rheumatism research involves subjective, semiobjective, and objective findings.
    • Criteria for disease activity, function, and progression are derived from these findings.
    • Qualitative criteria for these assessments are described.

    Purpose of the Study:

    • To describe methods for economically justifiable data recording in rheumatism research.
    • To explain statistical methods for analyzing qualitative and quantitative data.
    • To introduce factor analysis for investigating structural connections and reducing laboratory investigations.

    Main Methods:

    • Separation of codification regulations and data recording lists.
    • Calculation of statistical measures: mean value, standard deviation, variation coefficient.

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  • Application of statistical tests: t-test, chi2-test, Bravais-Pearson correlation, Spearman rank correlation, and factor analysis.

    • Main Results:

    • Established methods for repeatable data collection and analysis in rheumatism research.
    • Demonstrated applicability of statistical tests for group comparisons and correlation analysis.
    • Showcased factor analysis for structural insights and potential reduction in laboratory testing.

    Conclusions:

    • The described methods are universally applicable for rheumatism research, with or without electronic data processing.
    • Statistical analysis provides robust tools for evaluating disease parameters and group differences.
    • Factor analysis offers economic advantages by potentially reducing extensive laboratory investigations.