Automated covariate model building within NONMEM.
作者： E. Niclas Jonsson , Mats O. Karlsson
关键词: Pharmacology toxicology 、 Statistics 、 Linearization 、 NONMEM 、 Model building 、 Computer science 、 Mixed model 、 Population 、 Covariate 、 Bayes' theorem
摘要: Purpose. One important task in population pharmacokinetic/pharmacodynamic model building is to identify the relationships between parameters and demographic factors (covariates). The purpose of this study present an automated procedure that accomplishes this. benefits proposed over other commonly used methods are (i) covariate built for all simultaneously, (ii) within modeling program (NONMEM) giving familiar meaning significance levels used, (iii) it can appropriately handle covariates varies time (iv) not dependent on quality posterior Bayes estimates individual parameter values. For situations which computer run-times a limiting factor, linearization non-linear mixed effects evaluated.
springer.com
sci-hub.se 参考文章(8)
Jean-Michel Gries, Iñaki F. Troconiz, Davide Verotta, Mark Jacobson, Lewis B. Sheiner, A pooled analysis of CD4 response to zidovudine and zalcitabine treatment in patients with AIDS and AIDS‐related complex Clinical Pharmacology & Therapeutics. ,vol. 61, pp. 70- 82 ,(1997) , 10.1016/S0009-9236(97)90183-1
Mats O. Karlsson, Rüdiger E. Port, Mark J. Ratain, Lewis B. Sheiner, A population model for the leukopenic effect of etoposide. Clinical Pharmacology & Therapeutics. ,vol. 57, pp. 325- 334 ,(1995) , 10.1016/0009-9236(95)90158-2
Thomas W. Schnider, Charles F. Minto, Heini Bruckert, Jaap W. Mandema, Population pharmacodynamic modeling and covariate detection for central neural blockade. Anesthesiology. ,vol. 85, pp. 502- 512 ,(1996) , 10.1097/00000542-199609000-00009
Pascale Burtin, Evelyne Jacqz‐Aigrain, Pascal Girard, Richard Lenclen, Jean‐François Magny, Pierre Betremieux, Cédric Tehiry, Laurence Desplanques, Philippe Mussat, None, Population pharmacokinetics of midazolam in neonates Clinical Pharmacology and Therapeutics. ,vol. 56, pp. 615- 625 ,(1994) , 10.1038/CLPT.1994.186
Stuart L. Beal, Population pharmacokinetic data and parameter estimation based on their first two statistical moments. Drug Metabolism Reviews. ,vol. 15, pp. 173- 193 ,(1984) , 10.3109/03602538409015064
Jaap W. Mandema, Davide Verotta, Lewis B. Sheiner, Building population pharmacokinetic--pharmacodynamic models. I. Models for covariate effects. Journal of Pharmacokinetics and Biopharmaceutics. ,vol. 20, pp. 511- 528 ,(1992) , 10.1007/BF01061469
P. O. Maitre, M. Bührer, D. Thomson, D. R. Stanski, A three-step approach combining Bayesian regression and NONMEM population analysis: application to midazolam. Journal of Pharmacokinetics and Biopharmaceutics. ,vol. 19, pp. 377- 384 ,(1991) , 10.1007/BF01061662
Charles F. Minto, Thomas W. Schnider, Talmage D. Egan, Elizabeth Youngs, Harry J. M. Lemmens, Pedro L. Gambus, Valerie Billard, John F. Hoke, Katherine H. P. Moore, David J. Hermann, Keith T. Muir, Jaap W. Mandema, Steven L. Shafer, Influence of age and gender on the pharmacokinetics and pharmacodynamics of remifentanil. I. Model development Anesthesiology. ,vol. 86, pp. 10- 23 ,(1997) , 10.1097/00000542-199701000-00004