Convergence assessment of Sobol sensitivity analysis in pharmacokinetic modeling


Applying the Morris screening method to exam the parameter sensitivity in physiological-based pharmacokinetic model


The advance exercise of use MCsim with R desolve package


The exercise of use GNU MCsim under R in Windows system


The exercise of use GNU MCsim under R in Unix system



Sensitivity analysis of physiologically-based pharmacokinetic model

Reducing the dimensionality of Bayesian PBPK modeling algorithms by sensitivity analysis

Virus dynamics and drug resistance

Oseltamivir-induced resistance risk for influenza infection

Pesticides and honey bee population risk

Modeling honey bee population risk by neonicotinoid insecticide exposure

(ILOSH104-A310) Occupational fine particles exposure risk

Assessing the fine particles-associated health risks for workers in workplace

(ILOSH103-A307) Occupational lead exposure risk

Assessing health risks for workers in high lead exposed factories

(PhD dissertation) Air pollution and lung function exacerbations risk

Dynamic modeling and analysis of air pollution-associated lung function exacerbations risk

(Master thesis) Influenza-associated asthma exacerbations risk

Assessing the prevalence and exacerbations risk of influenza-associated asthma

Selected Publications

Traditionally, the usual solution to reduce parameter dimensionality in the physiologically based pharmacokinetic (PBPK) model is through expert judgment. However, this approach may lead to lower efficiency and substantial bias in parameter estimates. The purpose of this study is to propose a global sensitivity analysis (GSA) algorithm to ascertain which parameters in a PBPK model are non-identifiable, and therefore can be assigned fixed values to improved speed and convergence in Bayesian parameter estimation with minimal bias. Overall, we propose that this GSA approach provides an objective, transparent, and reproducible approach to improve the performance and computational efficiency of PBPK models.
SOT Annual Meeting, 2018


As creator

📦 pksensi
An R package to apply sensitivity analysis for pharmacokinetic model

As contributor

📦 xaringan
An R package for creating slideshows with remark.js through R Markdown. CRAN\_Status\_Badge