TABLE 1.

PBMS with NLME Model Results for ATP fitting

Equation no.	Function name	K^*	Maximum percentage CV^†	Maximum absolute off-diagonal correlation matrix element	Akaike weight (%)^‡
1	$\text{[math]}$	5	25	0.21	4.5 × 10⁻⁶²
2	$\text{[math]}$	7	—^§	—^§	—
3	$\text{[math]}$	9	41	0.43	1.3 × 10⁻¹⁵
4	$\text{[math]}$	9	—^§	—^§	—
5	$\text{[math]}$	9	41	0.43	2.3 × 10⁻¹³
6	$\text{[math]}$	11	156	0.37	—
7	$\text{[math]}$	11	120	0.73	—
8	$\text{[math]}$	13	44	0.03	100
9	$\text{[math]}$	13	107	0.66	—
10	$\text{[math]}$	13	59	0.85	—
11	$\text{[math]}$	13	11,836	0.47	—
12	$\text{[math]}$	15	54	0.75	—
13	$\text{[math]}$	15	2 × 10³⁰	0.59	—

↵* Number of parameters of NLME model for corresponding SOE function.
↵† Maximum percentage CV of fitted parameters for corresponding SOE function (percentage CV was calculated as $\text{[math]}$ (42), with $\text{[math]}$ being variance of fixed effect).
↵‡ Akaike weight indicates probability with which this function best describes data from analyzed set of functions. Only those SOE functions with percentage CV < 50 and a maximum absolute off-diagonal correlation matrix element < 0.8 were considered.
↵§ Random-effect value $\text{[math]}$ of parameter $\text{[math]}$ was not identifiable.
Total number of kidney biokinetic data used in this analysis is 315.