Table 1.

Notation Dictionary

	Hormone Concentration Model
yij	Observed hormone concentration at time tj for subject i
N	Number of subjects
m	Number of observations on a subject
S(t)	Pulsatile secretion function
E(t)	Elimination function
εij	Model error for log hormone concentration
	Pulsatile Secretion Function, S(t)
Ns,i	The number of secretion events (pulses) for subject i
θs,i,k = (αik, ωik, τik)	Log pulse mass and width and location for pulse k, subject i
μs,i = (μα,i, μω,i)	Mean log pulse mass and width for subject i
μs = (μα, μω)	Mean log pulse mass and width
ϒs	Pulse-to-pulse variation in log pulse mass and width (i.e., within subject variation)
Σs	Subject-to-subject variation in mean log pulse mass and width
	Elimination Function E(t)
θh,i	Half-life for subject i
μh	Mean half-life
${\sigma }_h^2$	Subject-to-subject variation in the half-life
	Baseline Concentration, B(t)
θb,i	Baseline for subject i
μb	Mean baseline
${\sigma }_b^2$	Subject-to-subject variation in the baseline
	Model Error
${\sigma }_{\epsilon }^2$	Model error variance