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Loglinear modeling with inexpensive computing equipment.

T D Koepsell

    American Journal of Epidemiology
    |November 1, 1984
    PubMed
    Summary
    This summary is machine-generated.

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    This study introduces a microcomputer program for fitting hierarchic loglinear models to epidemiologic data. The software provides essential statistical analyses for contingency tables, enhancing data analysis capabilities for epidemiologists.

    Area of Science:

    • Epidemiology
    • Biostatistics
    • Computer Science

    Background:

    • Loglinear models are increasingly used in epidemiologic research.
    • There is a growing need for accessible statistical tools for analyzing categorical data in epidemiology.

    Purpose of the Study:

    • To describe a user-friendly microcomputer program for fitting hierarchic loglinear models.
    • To provide epidemiologists with a tool for analyzing multiway contingency tables.

    Main Methods:

    • The program is written in BASIC for microcomputers.
    • It fits hierarchic loglinear models to categoric data in multiway contingency tables.
    • The software handles tables of any dimensionality.

    Main Results:

    Keywords:
    Computer Programs And ProgrammingData AnalysisEpidemiologic MethodsIecInformationInformation ProcessingModels, TheoreticalOrganization And AdministrationProgram ActivitiesProgramsResearch Methodology

    Related Experiment Videos

  • The program calculates goodness-of-fit statistics, expected cell counts, and maximum likelihood estimates.
  • It also provides standard errors for saturated models and logistic regression models for dichotomous response variables.
  • The software is compatible with most microcomputers with 16K RAM and is cost-effective.

    • Conclusions:

    • This program offers a practical and affordable solution for loglinear model analysis in epidemiologic studies.
    • It democratizes advanced statistical analysis for researchers with limited computational resources.