東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Population pharmacokinetic/pharmacod...

Park, Min-Hyung.

Linked to FindBook

Google Book

Amazon

博客來

Population pharmacokinetic/pharmacodynamic modeling: Evaluation of maximum likelihood expectation maximization method in ADAPT 5.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Population pharmacokinetic/pharmacodynamic modeling: Evaluation of maximum likelihood expectation maximization method in ADAPT 5./
Author:	Park, Min-Hyung.
Description:	85 p.
Notes:	Adviser: David Z. D'Argenio.
Contained By:	Masters Abstracts International45-03.
Subject:	Engineering, Biomedical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1441013

Population pharmacokinetic/pharmacodynamic modeling: Evaluation of maximum likelihood expectation maximization method in ADAPT 5.
Park, Min-Hyung.

Population pharmacokinetic/pharmacodynamic modeling: Evaluation of maximum likelihood expectation maximization method in ADAPT 5. - 85 p.

Adviser: David Z. D'Argenio.

Thesis (M.S.)--University of Southern California, 2006.

Maximum likelihood estimation via the expectation maximization algorithm (EML) was implemented into ADAPT 5 to support population pharmacokinetic/pharmacodynamic studies. Two detailed simulation studies were conducted using a one compartment pharmacokinetic model with sparse data and a complex pharmacokinetic/pharmacodynamic model to evaluate this algorithm. Additionally, a population analysis of the minimal model for the intravenous glucose tolerance test in mice was performed as an example of biological study using real data. In the simple pharmacokinetic model, less than 1% mean prediction errors were obtained for the estimated population mean and covariance parameters. For the complex model, the EML estimation resulted in prediction error less than 8% for the mean parameters and these results were not influenced by different initial guesses for model parameters. The EML estimation for the animal study resulted in a correlation coefficient between predicted and measured values of glucose concentration in plasma of 0.97.Subjects--Topical Terms:

1017684
Engineering, Biomedical.

Population pharmacokinetic/pharmacodynamic modeling: Evaluation of maximum likelihood expectation maximization method in ADAPT 5.
LDR:01933nam 2200265 a 45 001 958549
005 20110704
008 110704s2006 eng d
035 $a (UMI)AAI1441013
035 $a AAI1441013
040 $a UMI $c UMI
100 1 $a Park, Min-Hyung. $3 1282009
245 1 0 $a Population pharmacokinetic/pharmacodynamic modeling: Evaluation of maximum likelihood expectation maximization method in ADAPT 5.
300 $a 85 p.
500 $a Adviser: David Z. D'Argenio.
500 $a Source: Masters Abstracts International, Volume: 45-03, page: 1558.
502 $a Thesis (M.S.)--University of Southern California, 2006.
520 $a Maximum likelihood estimation via the expectation maximization algorithm (EML) was implemented into ADAPT 5 to support population pharmacokinetic/pharmacodynamic studies. Two detailed simulation studies were conducted using a one compartment pharmacokinetic model with sparse data and a complex pharmacokinetic/pharmacodynamic model to evaluate this algorithm. Additionally, a population analysis of the minimal model for the intravenous glucose tolerance test in mice was performed as an example of biological study using real data. In the simple pharmacokinetic model, less than 1% mean prediction errors were obtained for the estimated population mean and covariance parameters. For the complex model, the EML estimation resulted in prediction error less than 8% for the mean parameters and these results were not influenced by different initial guesses for model parameters. The EML estimation for the animal study resulted in a correlation coefficient between predicted and measured values of glucose concentration in plasma of 0.97.
590 $a School code: 0208.
650 4 $a Engineering, Biomedical. $3 1017684
650 4 $a Health Sciences, Pharmacology. $3 1017717
690 $a 0419
690 $a 0541
710 2 0 $a University of Southern California. $3 700129
773 0 $t Masters Abstracts International $g 45-03.
790 $a 0208
790 1 0 $a D'Argenio, David Z., $e advisor
791 $a M.S.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1441013