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Фармакокінетична компартментна модель×Популяційна фармакокінетика×
ГалузьФармакометрикаФармакометрика
РодинаRegression modelRegression model
Рік появи19821977
Автор методуGibaldi & PerrierSheiner, Rosenberg & Marathe
ТипDeterministic ODE-based pharmacokinetic modelNonlinear mixed-effects regression model
Основоположне джерелоGibaldi, M., & Perrier, D. (1982). Pharmacokinetics (2nd ed.). Marcel Dekker. ISBN: 978-0-8247-1042-2Sheiner, L. B., Rosenberg, B., & Marathe, V. V. (1977). Estimation of population characteristics of pharmacokinetic parameters from routine clinical data. Journal of Pharmacokinetics and Biopharmaceutics, 5(5), 445–479. DOI ↗
Інші назвиMammillary Compartment Model, Multi-Compartment PK Model, Compartmental Analysis, Farmakokinetik Kompartman ModeliPopPK, Nonlinear Mixed-Effects Modeling, NONMEM Approach, Popülasyon Farmakokinetiği
Пов'язані32
ПідсумокThe pharmacokinetic compartment model represents the body as one or more hypothetical compartments interconnected by first-order rate processes, describing how a drug is absorbed, distributed, and eliminated over time. Systematized by Gibaldi and Perrier in 1982, these models use ordinary differential equations to characterize plasma concentration-time profiles. They are the cornerstone of drug development, dosage regimen design, and regulatory submission pharmacokinetic analyses.Population Pharmacokinetics (PopPK) is a nonlinear mixed-effects modeling framework that characterizes how drugs are absorbed, distributed, metabolized, and eliminated across a patient population, estimating both typical population parameters and the magnitude of between-subject variability. Introduced by Sheiner, Rosenberg, and Marathe in 1977, it enables parameter estimation from sparse, routinely collected clinical data—making it indispensable in drug development, regulatory submissions, and individualized dosing.
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  2. 1 Джерела
  3. PUBLISHED
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ScholarGateПорівняння методів: Pharmacokinetic Compartment Model · Population Pharmacokinetics. Отримано 2026-06-19 з https://scholargate.app/uk/compare