Rd. Purves, ANOMALOUS PARAMETER ESTIMATES IN THE ONE-COMPARTMENT MODEL WITH 1ST-ORDER ABSORPTION, Journal of Pharmacy and Pharmacology, 45(10), 1993, pp. 934-936
A difficulty sometimes encountered in least-squares fitting of a one-c
ompartment model with first-order absorption is that estimated values
(k(a) and k(e)) of the rate constants of absorption and elimination ar
e almost identical, are highly correlated and have very large standard
deviations. This anomaly is explained by the existence of a class of
data sets for which least-squares estimates of the rate constants are
complex quantities. Such data sets may arise either from an unfortunat
e combination of random (e.g. assay) errors in the concentration value
s if k(a) and k(e) are sufficiently similar in magnitude, or from dela
yed absorption.