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Statistical methods in microbiology.

D M Ilstrup1

  • 1Section of Biostatistics, Mayo Medical School, Mayo Clinic, Rochester, Minnesota 55905.

Clinical Microbiology Reviews
|July 1, 1990
PubMed
Summary
This summary is machine-generated.

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This article simplifies statistical methodology for medical researchers, offering guidance on choosing appropriate analysis methods based on study design and variables. It emphasizes consulting statisticians for complex issues and study design elements.

Area of Science:

  • Medical Statistics
  • Biostatistics
  • Clinical Research Methodology

Background:

  • Statistical methodology is often perceived negatively by laboratory scientists and physicians.
  • Despite its reputation, statistical science can be made accessible for medical studies.
  • Understanding statistical methods is crucial for robust clinical research.

Purpose of the Study:

  • To demystify statistical methodology for medical professionals.
  • To provide a framework for selecting appropriate statistical analysis methods.
  • To encourage collaboration with statisticians for optimal study design and analysis.

Main Methods:

  • Outlining a selection of statistical analysis methods.
  • Matching methods to the nature of study variables.

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  • Considering the experimental design in method selection.

    • Main Results:

    • A simplified approach to statistical analysis selection is presented.
    • Guidance is offered for choosing methods based on variable type and study design.
    • The importance of seeking expert statistical consultation is highlighted.

    Conclusions:

    • Statistical methods can be made understandable and applicable to medical research.
    • Appropriate statistical analysis enhances the validity of medical studies.
    • Collaboration with statisticians is vital for addressing complex research questions and study design aspects.