Table 3.
Study Design | # readers, J | # patients* | Total # of image interpretations | # image interpretations per reader | Statistical Efficiency** |
---|---|---|---|---|---|
2-block split-plot | 6 (3/block) | 120 (30+30) | 720 | 120 | 1.0 |
3-block split-plot | 9 (3/block) | 120 (20+20) | 720 | 80 | 1.2 |
4-block split-plot | 12 (3/block) | 120 (15+15) | 720 | 60 | 1.33 |
Fully-paired A | 6 | 60 (30+30) | 720 | 120 | 0.83 |
Fully-paired B | 6 | 120 (60+60) | 1440 | 240 | 1.16 |
Unpaired-reader | 12 | 120 (60+60) | 1440 | 120 | 0.90 |
Total sample size (number of non-diseased and diseased patients per block)
Statistical efficiency is defined as the variance of the two-block split plot design divided by the variance of the specified alternative design [19]. An efficiency >1 indicates that the variance of the 2- block split design is larger than the variance of the specified alternative design; an efficiency <1 indicates that the variance of the 2-block split design is smaller than the variance of the specified alternative. The calculations are based on the first set of model parameters in our simulation study (see Section 3).