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Normal range estimation for repeated immunologic measures

J M Taylor1, W G Cumberland, X Meng

  • 1Department of Biostatistics, School of Public Health, University of California, Los Angeles 90095-1772, USA.

Clinical and Diagnostic Laboratory Immunology
|March 1, 1996
PubMed
Summary
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This study introduces a simple, nonparametric method to determine normal immunologic measurement ranges, even with multiple data points per person. The technique efficiently uses all available data for accurate reference interval estimation.

Area of Science:

  • Immunology
  • Biostatistics

Background:

  • Establishing normal reference ranges for immunologic measurements is crucial for clinical diagnostics.
  • Existing methods may not efficiently handle datasets with multiple observations per control subject.

Purpose of the Study:

  • To present a novel, nonparametric method for estimating normal ranges from immunologic data.
  • To address the challenge of multiple observations per subject in control populations.

Main Methods:

  • A nonparametric statistical approach was developed and applied.
  • The method efficiently utilizes all available immunologic measurements from control subjects.
  • The technique is designed for simplicity and ease of application.

Main Results:

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  • The described method provides an efficient way to estimate normal ranges.
  • It effectively incorporates all observations, including multiple measurements per individual.
  • The method was successfully illustrated using CD38 measurements from healthy men.

Conclusions:

  • The developed nonparametric method offers a robust and simple solution for establishing normal immunologic ranges.
  • This approach enhances the utility of control subject data, particularly when repeated measurements are available.