Title :
A program for population analysis of transient data
Author :
Vicini, Paolo ; Bell, Bradley M. ; Foster, David M.
Author_Institution :
Dept. of Bioeng., Washington Univ., Seattle, WA, USA
Abstract :
Population analysis quantifies the between-subjects variability in dynamic studies such as tracer (kinetics) or drug (pharmacokinetics) administration, We present here a program, POP3CM, which performs both simulation and analysis of population transient data based on a variety of maximum likelihood estimation methods
Keywords :
biomedical measurement; data analysis; digital simulation; maximum likelihood estimation; POP3CM; between-subjects variability; drug pharmacokinetics administration; dynamic studies; maximum likelihood estimation methods; population analysis; population transient data; program; simulation; tracer kinetics administration; Algorithm design and analysis; Analytical models; Biomedical computing; Biomedical engineering; Data analysis; Drugs; Kinetic theory; Maximum likelihood estimation; Pharmaceuticals; Transient analysis;
Conference_Titel :
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.804130
