A strategy for finding the optimal deconvolution estimates for hormone secretory kinetics using AutoDecon.
AutoDecon is a fully automatic, multiparameter deconvolution procedure that can be used to estimate various hormone secretion kinetics. We propose a strategy based on the application of the corrected Akaike's information criterion to select the optimal deconvolution model from a class of candidates generated by applying different combinations of initializing values. Using simulated cortisol time series, we show that, particularly in cases of diminished hormone half-life, this approach can yield estimates that are closer to the true underlying secretion kinetics compared with the commonly used approach based on a single set of initializing values. However, although we provide proof of principle, more extensive elaboration and validation of this approach are necessary.
Aziz
N Ahmad
NA
Department of Neurology, Leiden University Medical Center, 2300 RC Leiden, The Netherlands. n.a.aziz@lumc.nl
Roelfsema
Ferdinand
F
Frölich
Marijke
M
Roos
Raymund A C
RA
Pijl
Hanno
H
D000465:Algorithms; D005260:Female; D006207:Half-Life; D006801:Humans; D006854:Hydrocortisone / Q000378:metabolism*; D007700:Kinetics; D008297:Male; D008954:Models, Biological; D013997:Time Factors
D006854:Hydrocortisone