Parametric approaches in population pharmacokinetics

M Guidi, C Csajka, T Buclin - The Journal of Clinical …, 2022 - Wiley Online Library
Population pharmacokinetic (popPK) approaches have spread widely throughout clinical
pharmacology research, and every clinician should have some understanding of them. After …

Parametric and nonparametric methods in population pharmacokinetics: experts' discussion on use, strengths, and limitations

S Goutelle, JB Woillard, T Buclin… - The Journal of …, 2022 - Wiley Online Library
Population pharmacokinetics consists of analyzing pharmacokinetic (PK) data collected in
groups of individuals. Population PK is widely used to guide drug development and to inform …

A machine learning approach to personalized dose adjustment of lamotrigine using noninvasive clinical parameters

X Zhu, W Huang, H Lu, Z Wang, X Ni, J Hu, S Deng… - Scientific Reports, 2021 - nature.com
The pharmacokinetic variability of lamotrigine (LTG) plays a significant role in its dosing
requirements. Our goal here was to use noninvasive clinical parameters to predict the dose …

Tutorial on model selection and validation of model input into precision dosing software for model‐informed precision dosing

ZL Taylor, EA Poweleit, K Paice… - CPT …, 2023 - Wiley Online Library
There has been rising interest in using model‐informed precision dosing to provide
personalized medicine to patients at the bedside. This methodology utilizes population …

Predicting quetiapine dose in patients with depression using machine learning techniques based on real-world evidence

Y Hao, J Zhang, J Yu, Z Yu, L Yang, X Hao… - Annals of General …, 2024 - Springer
Background Being one of the most widespread, pervasive, and troublesome illnesses in the
world, depression causes dysfunction in various spheres of individual and social life …

Recommended approaches for integration of population pharmacokinetic modelling with precision dosing in clinical practice

M Berezowska, IS Hayden, AM Brandon… - British Journal of …, 2024 - Wiley Online Library
Current methods of dose determination have contributed to suboptimal and inequitable
health outcomes in underrepresented patient populations. The persistent demand to …

Using sensitivity equations for computing gradients of the FOCE and FOCEI approximations to the population likelihood

J Almquist, J Leander, M Jirstrand - Journal of pharmacokinetics and …, 2015 - Springer
The first order conditional estimation (FOCE) method is still one of the parameter estimation
workhorses for nonlinear mixed effects (NLME) modeling used in population …

Evaluation of FOCEI and SAEM Estimation Methods in Population Pharmacokinetic Analysis Using NONMEM® Across Rich, Medium, and Sparse Sampling Data

W Sukarnjanaset, T Wattanavijitkul… - European journal of …, 2018 - Springer
Abstract Background and Objectives First-order conditional estimation with interaction
(FOCEI) is one of the most commonly used estimation methods in nonlinear mixed effects …

Comparing the performance of FOCE and different expectation-maximization methods in handling complex population physiologically-based pharmacokinetic models

X Liu, Y Wang - Journal of pharmacokinetics and pharmacodynamics, 2016 - Springer
For the purpose of population pharmacometric modeling, a variety of mathematic algorithms
are implemented in major modeling software packages to facilitate the maximum likelihood …

Population pharmacokinetics of edoxaban in Japanese atrial fibrillation patients with severe renal impairment

T Shimizu, M Tachibana, T Kimura… - Clinical …, 2017 - Wiley Online Library
This is a population pharmacokinetic (PopPK) analysis to predict PK of edoxaban, a direct‐
acting oral anticoagulant, in nonvalvular atrial fibrillation (NVAF) patients with severe renal …