Comparing two clinical measurements

A linear mixed model approach

Dejian Lai, Shyang-Yun Pamela Shiao

Research output: Contribution to journalArticle

9 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)855-860
Number of pages6
JournalJournal of Applied Statistics
Volume32
Issue number8
DOIs
StatePublished - Oct 1 2005

Fingerprint

Linear Mixed Model
Saturation
Oxygen
Statistical Software
Hemoglobin
Nursing
Statistical Inference
Fractional
Mixed model
Graphics
Software
Statistical inference

Keywords

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

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Cite this

Comparing two clinical measurements : A linear mixed model approach. / Lai, Dejian; Shiao, Shyang-Yun Pamela.

In: Journal of Applied Statistics, Vol. 32, No. 8, 01.10.2005, p. 855-860.

Research output: Contribution to journalArticle

Lai, Dejian ; Shiao, Shyang-Yun Pamela. / Comparing two clinical measurements : A linear mixed model approach. In: Journal of Applied Statistics. 2005 ; Vol. 32, No. 8. pp. 855-860.
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