Популяционное моделирование
Постановка задачи Наблюдаемые данные и ковариаты -> оценка β, b, σ,Ψ Значения параметров -> предсказание
nlme library for R Pinheiro J.C., Bates D.M. Mixed-Effect Models in S and S-PLUS, nlmeODE Tornoe C.W., Agerso H., Jonson E.N., Madse H., Nielsen H.A. Non-linear mixed-effects pharmacokinetic/pharmacodynamic modelling in NLME using differential equations
nlmeODE Data retreiving PK model nlmeODE structural function nlme call
Population modeling NLME diagram R script Code generation Estimation results nlme Java classes rJava Structural diagram: - ODE - PDE - composite - agent … Structural diagram: - ODE - PDE - composite - agent … Tabled data (dosing, group factors) Tabled data (dosing, group factors) PharmML SBML CellML … Import, export
Distribution visualization WinBUGSBioUML
Популяционное моделирование
Сравнение atol = 1E-12, rtol = 1E-8 BioUMLnlmeODE Duration (s) Loglike AIC374,354366,076 BIC Fixed effectska = ke = CL = ka = ke= CL = Random effectska = CL = ka = CL = Residual
Спасибо за внимание