Semiparametric modeling of labeled-cell kinetics, with application to isotope labeling of erythrocytes.
We propose a stochastic model for the kinetics of cells that have been tagged with a chemical label. The proposed model consists of two components: a parametrically specified distribution for the time to incorporation of the label into the cells and a nonparametric survival function reflecting the survival time of the label-cell combination. The target quantity of this modeling approach is the fraction of labeled cells among all cells, viewed as a function of time. Longitudinal measurements of this labeled-cell fraction are available from a recent experiment with folate-labeled red blood cells. The proposed semiparametric model is fitted to these data and some of the implications are explored. The proposed method also includes bootstrap-based inference.
Müller
Hans-Georg
HG
Department of Statistics, University of California, One Shields Avenue, Davis, California 95616, USA. mueller@wald.ucdavis.edu
Su
Chun-Lung
CL
Dueker
Stephen R
SR
Lin
Yumei
Y
Clifford
Andrew
A
Buchholz
Bruce A
BA
Vogel
John S
JS
D002250:Carbon Radioisotopes / Q000493:pharmacokinetics; D004905:Erythrocyte Aging / Q000502:physiology; D004912:Erythrocytes / Q000166:cytology / Q000378:metabolism*; D005492:Folic Acid / Q000493:pharmacokinetics; D006801:Humans; D007553:Isotope Labeling / Q000379:methods*; D007700:Kinetics; D008297:Male; D008954:Models, Biological; D015233:Models, Statistical; D013269:Stochastic Processes
D002250:Carbon Radioisotopes; D005492:Folic Acid