Comparing two clinical measurements: A linear mixed model approach

Dejian Lai, Shyang Yun Pamela K. Shiao

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)855-860
Number of pages6
JournalJournal of Applied Statistics
Issue number8
StatePublished - Oct 2005


  • Accuracy
  • Bland-Altman method
  • Linear mixed model
  • Oxygen saturation

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty


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