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Multivariate reference regions

H E Solberg1

  • 1Department of Clinical Chemistry, Rikshospitalet, Oslo, Norway.

Scandinavian Journal of Clinical and Laboratory Investigation. Supplementum
|January 1, 1995
PubMed
Summary
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Interpreting multiple lab tests using single reference intervals leads to frequent false positives. Using a multivariate reference region for the entire test profile offers an accurate solution for complex diagnostic evaluations.

Area of Science:

  • Clinical chemistry
  • Biostatistics
  • Medical diagnostics

Background:

  • Univariate comparison of laboratory test results against reference intervals can yield a high frequency of false positive conclusions.
  • This issue arises from conducting multiple independent statistical tests, increasing the probability of Type I errors.

Purpose of the Study:

  • To address the problem of false positives in interpreting multiple laboratory test results.
  • To introduce and explain the application of a multivariate reference region as an adequate solution.

Main Methods:

  • The study proposes the application of a multivariate reference region for evaluating a profile of laboratory test results.
  • This approach extends the concept of a univariate reference interval to a multidimensional context.

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Main Results:

  • The multivariate reference region effectively reduces the rate of false positive conclusions compared to multiple univariate comparisons.
  • It provides a more accurate statistical framework for interpreting combined laboratory test data.

Conclusions:

  • The use of multivariate reference regions is recommended for the interpretation of multiple laboratory test results.
  • This method enhances diagnostic accuracy by mitigating the inflation of false positive rates inherent in univariate approaches.