Comparing two clinical measurements: a linear mixed model approach |
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| Authors: | Dejian Lai Shyang-Yun Pamela K Shiao |
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| Institution: |
a School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas, USA
b Faculty of Statistics, Jiangxi University of Finance and Economics, Nanchang, China
c School of Nursing, University of Texas Health Science Center at Houston, Houston, Texas, USA |
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| 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. |
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| Keywords: | Accuracy Bland-Altman method linear mixed model oxygen saturation |
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