TABLE 4.
Parameter | Full modela | Bootstrapb | 95% PI | Difference (%)c |
---|---|---|---|---|
Structural model | ||||
θCL (l · h−1) | 0.44 | 0.44 | 0.36-0.51 | −0.9 |
θV1 (l) | 3.12 | 3.34 | 2.29-4.39 | 7.1 |
θQ (l · h−1) | 0.73 | 0.73 | 0.53-0.93 | 0.1 |
θV2 (l) | 18.0 | 18.7 | 13.4-23.9 | 3.6 |
θCL ≈ WT (kg−1)d | 0.0152 | 0.0151 | 0.0067-0.0236 | −0.7 |
θV1 ≈ WT (kg−1)e | 0.0241 | 0.0223 | 0.0118-0.0329 | −7.5 |
Statistical modelf | ||||
ω2CL | 0.0108 | 0.0103 | 0.0005-0.0201 | −4.6 |
ω2V1 | 0.0450 | 0.0001-0.0900 | ||
ω2Q | 0.593 | 0.591 | 0.320-0.861 | −0.4 |
ω2V2 | 0.546 | 0.537 | 0.184-0.889 | −1.7 |
π2CL | 0.209 | 0.189 | 0.067-0.312 | −9.5 |
π2V1 | 0.319 | 0.312 | 0.062-0.561 | −2.3 |
σ2add | 0.0011 | 0.0014 | 0.0002-0.0025 | 22.1 |
σ2prop | 0.0709 | 0.0707 | 0.0556-0.0857 | −0.3 |
Mean estimates from the original data set.
Mean estimates from 1,000 bootstrap analyses.
Results are shown as (bootstrap value − full model value)/full model value × 100.
Effect of WT on CL.
Effect of WT on V1.
ω2, random effect parameter that represents interindividual variance; π2, random effect parameter that represents between occasion variance; σ2, random effect parameter that represents residual variance.