Approaches to population kinetic analysis with application to metabolic studies

Advances in Experimental Medicine and Biology

Volumn 445, Issue , 1998, Pages 103-113

  Vicini, Paolo ^a,b   Barrett, P Hugh R ^a   Cobelli, Claudio ^b   Foster, David M ^a   Schumitzky, Alan ^a,c  

^a University of Washington   (United States)

^b UNIVERSITY OF PADOVA   (Italy)

^c UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONFERENCE PAPER; DATA ANALYSIS; KINETICS; METABOLISM; METHODOLOGY; PRIORITY JOURNAL; STATISTICAL ANALYSIS;

EID: 0031849603     PISSN: 00652598     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-1-4899-1959-5_6     Document Type: Conference Paper

References (16)

1. Beal SL; Sheiner LB. Estimating population kinetics. CRC Crit Rev Bioeng, 1982, 8:195-222.
2. Bell BM; Paisley B; Trippel D. O-Matrix for Windows Users Guide. Harmonic Software, Inc.: Seattle. 1994.
3. Bergman RM; Ider YZ; Bowden CR; Cobelli C. Quantitative estimation of insulin sensitivity. Am J Physiol, 1979, 236:E667-E677.
4. Berman M; Weiss MF. The SAAM Manua. USPHS(NIH) Publication No. 78-180, US Government Printing Office: Washington DC. 1978.
5. Davidian M; Giltinan D. Nonlinear Models for Repealed Measurement Data. Chapman and Hall: New York. 1995.
6. Davidian M: Gallant A. The nonlinear mixed effects model with a smooth random effects density. Biometrika, 1993, 80:475-488.
7. DerSimonian R. Maximum likelihood estimation of a mixing distribution. Appl Stat, 1986, 35:302-309.
8. Gomeni R; Pineau G; Mentre F. Population kinetics and conditional assessment of the optimal dosage regimen using the P-PHARM software package. Anticancer Res, 1994, 14:2321-2326.
9. Lindstrom MJ; Bates DM. Nonlinear mixed effects models for repeated measures data. Biometrics, 1990, 46:673-687.
10. Lyne A; Boston R; Pettigrew K; Zech L. EMSA: A SAAM service for the estimation of population parameters based on model fits to identically replicated experiments. Comp Meth Prog Biomed, 1992, 38:117-151.
11. Mallet A. A maximum likelihood estimation method for random coefficient regression models. Biometrika, 1986, 73:645-656.
12. Racine-Poon A. A Bayesian approach to nonlinear random effects models. Biometrics, 1985, 41:1015-1023.
13. Schumitzky A. Nonparametric EM algorithms for estimating prior distributions. App Math Comp, 1991, 45:141-157.
14. Steimer JL; Mallet A; Golmard J-L; Boisvieux J-F. Alternative approaches to estimation of population pharmacokinetic parameters: Comparison with the nonlinear mixed-effect model. Drug Metab Rev, 1984, 15:265-292.
15. Vonesh EF; Carter RL. Mixed-effects nonlinear regressions for unbalanced repeated measures. Biometrics, 1992, 48:1-17.
16. Wakefield J; Smith AFM, Racine-Poon A; Gel fand A. Bayesian analysis of linear and nonlinear population models. Appl Stat, 1994, 43:201-222.