DocumentCode
3307340
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
Volume
2
fYear
1999
fDate
36434
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;
fLanguage
English
Publisher
ieee
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
ISSN
1094-687X
Print_ISBN
0-7803-5674-8
Type
conf
DOI
10.1109/IEMBS.1999.804130
Filename
804130
Link To Document