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Comparing two clinical measurements: a linear mixed model approach

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  • Dejian Lai
  • Shyang-Yun Pamela Shiao

Abstract

In this article, we extended the widely used Bland-Altman graphical technique of comparing two measurements in clinical studies to include an analytical approach using a linear mixed model. The proposed statistical inferences can be conducted easily by commercially available statistical software such as SAS. The linear mixed model approach was illustrated using a real example in a clinical nursing study of oxygen saturation measurements, when functional oxygen saturation was compared against fractional oxy-hemoglobin.

Suggested Citation

  • Dejian Lai & Shyang-Yun Pamela Shiao, 2005. "Comparing two clinical measurements: a linear mixed model approach," Journal of Applied Statistics, Taylor & Francis Journals, vol. 32(8), pages 855-860.
    • Handle: RePEc:taf:japsta:v:32:y:2005:i:8:p:855-860
    DOI: 10.1080/02664760500080157
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    References listed on IDEAS

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    1. Lin L. & Hedayat A. S. & Sinha B. & Yang M., 2002. "Statistical Methods in Assessing Agreement: Models, Issues, and Tools," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 257-270, March.
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