TABLE 1.
Statistical comparison (lineal mixed model regression analysis) between experimental combinations. Intercept is the test used as reference. The mean value for intercept is shown in estimates column. The remaining of values in that column show proportional increases (positive) or decreases (negative) with respect to the reference
| A | Lat | A | St | Pt | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Predictors | Estimates | CI | p‐Value | Estimates | CI | p‐Value | Estimates | CI | p‐Value | Estimates | CI | p‐Value |
| Intercept (CS) | 2.79 | 2.68–2.90 | <.001 | 0.61 | 0.51–0.70 | <.001 | 0.41 | 0.35–0.46 | <.001 | 3.94 | 3.76–4.11 | <.001 |
| CCS | −0.02 | −0.05 to 0.01 | .303 | 0.61 | 0.48–0.74 | <.001 | −0.02 | −0.07 to 0.04 | .567 | ‐0.04 | −0.21–0.12 | .597 |
| CCX | −0.03 | −0.06 to 0.00 | .094 | 1.79 | 1.66–1.92 | <.001 | 0.26 | 0.20–0.31 | <.001 | 0.86 | 0.70–1.03 | <.001 |
| LS | 0.06 | 0.00–0.11 | .045 | ‐0.15 | −0.32 to 0.01 | 0.068 | ||||||
| LX | 0.23 | 0.18–0.29 | <.001 | 0.54 | 0.37–0.70 | <.001 | ||||||
| Random effects | ||||||||||||
| δ2 | 0.00 | 0.05 | 0.01 | 0.09 | ||||||||
| τ00 | 0.07id | 0.01 id | 0.01 id | 0.11 id | ||||||||
| ICC | 0.96 | 0.11 | 0.51 | 0.56 | ||||||||
| N | 25 id | 25 id | 25 id | 25 id | ||||||||
| Observations | 75 | 75 | 125 | 125 | ||||||||
| Marginal R2/conditional R2 | 0.002 / 0960 | 0.904/0.915 | 0.406/0.707 | 0.440/0754 | ||||||||
| b | A | C | Pt | |||||||||
| Predictors | Estimates | CI | p‐Value | Predictors | Estimates | CI | p‐Value | |||||
| Intercept (CCS) | 1.21 | 1.12–1.31 | <.001 | Intercept (LX) | 4.47 | 4.30–4.65 | <.001 | |||||
| CCX | 1.18 | 1.05–1.31 | <.001 | CCX | 0.33 | 0.16–0.49 | <.001 | |||||
Abbreviations: A, amplitude; CI, 95% confidence interval; CS, cymba small; CCS, cymba and cavum small; CCX, cymba and cavum extra‐large; ICC, intraclass correlation coefficient; LS, lobe small; LX, lobe extra‐large; Lat, latency; Pt, pain threshold; St, sensory threshold.