Table 2.
Dermal Thickness Averages, Measurement Errors, and Reliability by Image Categorization
| Rater 1 | Rater 2 | Rater 1 | Rater 2 | Inter-rater | |||||
|---|---|---|---|---|---|---|---|---|---|
| N | Mean (SD) | SEM | Mean (SD) | SEM | p* | ICC** | ICC** | ICC*** | |
| All | 63 | 1.64 (0.42) | 0.05 | 1.74 (.35) | 0.04 | <0.01 | 0.94 | 0.98 | 0.86 |
| 95% CI | 0.91–0.96 | 0.97–0.99 | 0.75–0.92 | ||||||
| S. Axis | 31 | 1.70 (0.47) | 0.08 | 1.78 (0.36) | 0.06 | 0.16 | 0.92 | 0.98 | 0.83 |
| 95% CI | 0.86 –0.96 | 0.97 – 0.99 | 0.66 – 0.92 | ||||||
| L. Axis | 32 | 1.58 (0.37) | 0.06 | 1.69 (0.28) | 0.05 | <0.01 | 0.97 | 0.98 | 0.90 |
| 95% CI | 0.94 –0.98 | 0.96 – 0.99 | 0.70 – 0.96 | ||||||
| Floating | 31 | 1.75 (0.37) | 0.07 | 1.78 (0.30) | 0.05 | 0.61 | 0.88 | 0.97 | 0.75 |
| 95% CI | 0.78 – 0.94 | 0.95 – 0.99 | 0.48 – 0.88 | ||||||
| Surface | 32 | 1.53 (0.45) | 0.08 | 1.70 (0.35) | 0.06 | <0.01 | 0.97 | 0.98 | 0.92 |
| 95% CI | 0.95 – 0.99 | 0.97 – 0.99 | 0.51 – 0.97 | ||||||
| S. Axis x Floating | 15 | 1.84 (0.41) | 0.11 | 1.82 (0.34) | 0.09 | 0.80 | 0.78 | 0.98 | 0.63 |
| 95% CI | 0.48 – 0.92 | 0.95 – 0.99 | 0.17 – 0.88 | ||||||
| S. Axis x Surface | 16 | 1.56 (0.49) | 0.12 | 1.74 (0.39) | 0.10 | <0.01 | 0.98 | 0.99 | 0.93 |
| 95% CI | 0.95 – 0.99 | 0.97 – 1.0 | 0.30 – 0.98 | ||||||
| L. Axis x Floating | 16 | 1.66 (0.30) | 0.08 | 1.74 (0.26) | 0.06 | 0.08 | 0.97 | 0.97 | 0.89 |
| 95% CI | 0.93 – 0.99 | 0.93 – 0.99 | 0.68 – 0.96 | ||||||
| L. Axis x Surface | 16 | 1.51 (0.42) | 0.10 | 1.65 (0.32) | 0.08 | <0.01 | 0.96 | 0.98 | 0.90 |
| 95% CI | 0.92 – 0.99 | 0.96 – 0.99 | 0.57 – 0.97 | ||||||
S. Axis = Short Axis; L. Axis = Long Axis; SEM= Standard Error of the Mean, and 95% confidence interval (CI) is assumed.
p-value for paired t-test between rater 1 and rater 2 on same image; due to missing values, data not equally paired by site for short/long or floating/surface, so comparison between values within rater for these variables should not be made using these data.
two-way mixed effects model for consistency;
two-way random effects model for agreement