. 2019 Jul 10;11(7):323. doi: 10.3390/pharmaceutics11070323

Table 5.

Comparison of between-subject variability estimates between different body size models.

Body Size Model	Relative between Subject Variance (%)
Body Size Model	CL_NR	CL_R	CL_TOT	V1	V2
WT linear scaling	100 ^a	100	100	100	100
WT allometric	108 ^b	87	107	103	94
FFM linear scaling	64 ^b,c	207 ^d	67 ^d	60	108
FFM allometric	79 ^b,c	155 ^d	80 ^d	74	67

This table reports the variance of the respective body size model divided by the variance of linear scaling by total body weight (see Table 3 for parameter explanations). ^a The between-subject variances were reported relative to the variance for linear scaling by WT. ^b A lower relative variance indicates that the unexplained (i.e., random) variability was reduced by the tested body size and body composition model. ^c These values mean that the between subject variance was reduced by 36% for linear scaling and by 21% for allometric scaling based on FFM, both compared to linear scaling by WT. ^d Renal clearance was much smaller than nonrenal clearance and the estimated BSV of renal clearance was also smaller than the BSV of nonrenal clearance. Therefore, the high relative variances for renal clearance had minimal impact on the relative variances for total clearance.