This book provides a user-friendly, hands-on introduction to the Nonlinear Mixed Effects Modeling (NONMEM) system, the most powerful tool for pharmacokinetic / pharmacodynamic analysis.
• Introduces requisite background to using Nonlinear Mixed Effects Modeling (NONMEM), covering data requirements, model building and evaluation, and quality control aspects
• Provides examples of nonlinear modeling concepts and estimation basics with discussion on the model building process and applications of empirical Bayesian estimates in the drug development environment
• Includes detailed chapters on data set structure, developing control streams for modeling and simulation, model applications, interpretation of NONMEM output and results, and quality control
• Has datasets, programming code, and practice exercises with solutions, available on a supplementary website
• Introduces requisite background to using Nonlinear Mixed Effects Modeling (NONMEM), covering data requirements, model building and evaluation, and quality control aspects
• Provides examples of nonlinear modeling concepts and estimation basics with discussion on the model building process and applications of empirical Bayesian estimates in the drug development environment
• Includes detailed chapters on data set structure, developing control streams for modeling and simulation, model applications, interpretation of NONMEM output and results, and quality control
• Has datasets, programming code, and practice exercises with solutions, available on a supplementary website
Maksa helposti kortilla, Klarnalla, Apple Paylla tai Google Paylla. Etkö ole tyytyväinen? Sinulla on aina 14 päivän palautusoikeus. Lue lisää ehdoistamme. Jos sinulla on kysyttävää, lähetä meille sähköpostia osoitteeseen hello@memmo.org.
Memmo tekee opiskelusta helpompaa – missä päin maailmaa ikinä oletkin. Meillä yhdistät kurssikirjat ja fiksut opiskelutyökalut yhteen paikkaan: tiivistelmät, visat, podcastit ja muistikortit. Ja sitten Ted, opiskelukaverisi, joka vastaa kaikkeen, mitä ikinä mietitkin. Yli 50 000 opiskelijaa opiskelee jo täällä – rakennettu auttamaan sinua oppimaan nopeammin ja stressaamaan vähemmän.