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[II: Difference plots or scattergram--when to use which?].

Frank Krummenauer1

  • 1Institut für Medizinische Biometrie, Epidemiologie und Informatik der Universität Mainz, Germany. krummi@imsd.uni-mainz.de

Klinische Monatsblatter Fur Augenheilkunde
|November 1, 2002
PubMed
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Statistical analysis of repeated measurements requires examining intraindividual differences, not just correlations. This method is crucial for accurate comparisons in fields like ophthalmology, especially when analyzing paired data.

Area of Science:

  • Biostatistics
  • Ophthalmology

Context:

  • Bivariate scattergrams and linear regression are often used to compare measurement series.
  • This approach is inappropriate for data with the same physical index, such as repeated intraocular pressure measurements.

Purpose:

  • To propose an appropriate statistical method for analyzing repeated measurements of the same physical index.
  • To highlight the limitations of traditional correlation-based methods for specific data types.

Summary:

  • Analyzing intraindividual differences, rather than correlations, is recommended for repeated measurements of the same index.
  • Methods include calculating the median and quartiles of differences and using box whisker plots.
  • The Bland-Altman diagram is also useful for illustrating difference distribution and potential value dependencies.

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Impact:

  • Provides a more accurate statistical approach for comparing diagnostic methods and measurement series.
  • Enhances data analysis in ophthalmology, particularly for comparing paired eye measurements.
  • Improves the understanding of measurement concordance versus reproducibility.