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Multi-reader ROC studies with split-plot designs: a comparison of statistical methods.

Nancy A Obuchowski1, Brandon D Gallas, Stephen L Hillis

  • 1Department of Quantitative Health Sciences, JJN-3, Cleveland Clinic Foundation, 9500 Euclid Avenue, Cleveland, OH 44195, USA. obuchon@ccf.org

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PubMed
Summary
This summary is machine-generated.

The split-plot design in multireader imaging trials is efficient, reducing reader workload. Three analysis methods offer comparable statistical performance, making this design viable for research.

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Area of Science:

  • Medical Imaging Analysis
  • Statistical Study Design
  • Radiology Research

Background:

  • Multireader imaging trials commonly use factorial designs, requiring extensive reader interpretations.
  • This high workload can be a significant drawback in study logistics and efficiency.
  • Split-plot designs offer a potential solution by distributing reader workload.

Purpose of the Study:

  • To compare three statistical analysis methods for split-plot designs in multireader imaging trials.
  • To evaluate the efficiency and statistical properties of the split-plot design against traditional factorial designs.

Main Methods:

  • The study presents three analysis methods: modified Obuchowski-Rockette, marginal-mean ANOVA, and extended U-statistic.
  • A simulation study using the Roe-Metz model assessed type I error rate, statistical power, and confidence interval coverage.

Main Results:

  • All three methods demonstrated type I error rates near the nominal level, with slight conservatism.
  • Statistical power was virtually identical across the three methods.
  • Confidence interval coverage remained close to nominal levels for various sample sizes.

Conclusions:

  • The split-plot design is a statistically efficient alternative to factorial designs in multireader imaging studies.
  • It effectively reduces the number of interpretations required per reader.
  • The three analyzed methods are suitable for split-plot designs, offering reliable statistical outcomes.