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Few models currently take into account these sources of variability in their parameter estimation. This chapter discusses nonlinear mixed effects models , a modeling approach that specifically accounts for sources of variability in a model, and their application to QSP....
内容提示: Nonlinear Mixed Effects Models, a Tool for Analyzing Repeated MeasurementsA Brief Tutorial Using SAS Software®Peter Gaccione, Harvard School of Public Health, Boston, MAM.S. Blanchard, Frontier Science & Technology Research Foundation, Inc. Chestnut Hill, MAAbstractThe exponential increase...
Recently, nonlinear mixed-effects (NLME) model15,17 for repeated measures dose-response data have become popular due to their flexible covariance structure which allows for the joint modeling of multiple in vitro measurements taken off a set of CCLs. An advantage of using the NLME model is that...
mixed-effects, random-effects, model calibration, tree height-diameter modelingp class=MsoNormal style=margin: 0cm 0cm 0pt;span style=color: #111111; font-size: 12pt; mso-fareast-font-family: Times New Roman;span style=font-family: Times New Roman;A nonlinear mixed-effects modeling ...
Two case studies in nonlinear mixed effects modeling are presented. The first case is development of a pharmacodynamic model with the acetylcholinesterase inhibitor zifrosilone. The second case study is the development and validation of a pharmacokinetic model for tobramycin in patients with varying ...
The paper describes the problem of conventional growth and yield model and the use ofnonlinear mixed-effect models in modeling basal area. 该文描述了传统生长收获模型存在的问题及非线性混合效应模型在预估林分断面积方面的应用,介绍了非线性混合效应模型的表达形式。
A Guide to the Most Powerful Tool for Population Pharmacokinetic / Pharmacodynamic Analysis Population pharmacokinetic / pharmacodynamic analysis using Nonlinear Mixed Effects Modeling (NONMEM) is an approach that has gained substantial importance in pharmacometrics. NONMEM is the primary tool employed and is...
有关SDE在药物动力学建模的文章有很多,在文章Non-linearMixed-EffectsModelswithStochasticDifferentialEquations:ImplementationofanEstimationAlgorithm中[25],介绍了一种基于SDE的非线性混合效应模型,它将个体内的残差具体化,讨论了残差的相关性,基于SDE的在实验测量时产生的误差对于个体间的差异提供了更好的描述,尤其是...
Mixtures of common -factor analyzers (MCtFA) have emerged as a sound parsimonious model-based tool for robust modeling of high-dimensional data in the pres... WL Wang,LM Castro - 《Statistics & Its Interface》 被引量: 0发表: 2018年 Bayesian truncated beta nonlinear mixed-effects models Trunc...