POPED, a software for optimal experiment design in population kinetics
Explore this paper's citation graph
Summary
This paper proposes an algorithm and a computer program, POPED, for the optimal design of a population kinetic experiment, where the number of samples for each subject and the design of the individual sampling strategies will be considered.
- Type
- article
- Published
- 2004-04-01
- Cited by
- 118
- References
- 19
- OpenAlex
- https://openalex.org/W1997752174
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:206043915
Keywords
Computer science, Population, Software, Sampling (signal processing), Variable (mathematics)
References
- The use of simulated annealing for finding optimal population designs
- Linear and Nonlinear Models for the Analysis of Repeated Measurements
- Comparison of ED, EID, and API Criteria for the Robust Optimization of Sampling Times in Pharmacokinetics
- Implementation of OSPOP, an algorithm for the estimation of optimal sampling times in pharmacokinetics by the ED, EID and API criteria.
- Robust experiment design via stochastic approximation
- Experimental design and efficient parameter estimation in population pharmacokinetics
- Comparison of some practical sampling strategies for population pharmacokinetic studies
- Development and implementation of the population Fisher information matrix for the evaluation of population pharmacokinetic designs
- A computationally efficient approach for the design of population pharmacokinetic studies
- Mathematical methods of statistics
- Estimating population kinetics.
- Optimal experiment design for nonlinear models subject to large prior uncertainties.
- Theory Of Optimal Experiments
- Nonlinear Models for Repeated Measurement Data
- Mathematical Methods of Statistics.
Cited by
- Simultaneous optimal experimental design on dose and sample times
- Optimization of the intravenous glucose tolerance test in T2DM patients using optimal experimental design
- Population pharmacokinetic / pharmacodynamic analysis of erythropoiesis kinetics
- Covariate Model Building in Nonlinear Mixed Effects Models
- Benefits of Non-Linear Mixed Effect Modeling and Optimal Design : Pre-Clinical and Clinical Study Applications
- Faster Optimal Design Calculations for Practical Applications
- Optimal design of clinical studies using the PFIM software
- Methods and software tools for design evaluation in population pharmacokinetics-pharmacodynamics studies.
- A general method to determine sampling windows for nonlinear mixed effects models with an application to population pharmacokinetic studies
- Applied Population Pharmacokinetic/ Pharmacodynamic Modeling of Antiretroviral and Antimalarial Drug Therapy
- Statistical tools for dose individualization of mycophenolic acid and tacrolimus co-administered during the first month after renal transplantation.
- Robust Population Pharmacokinetic Experiment Design
- PopED: An extended, parallelized, nonlinear mixed effects models optimal design tool
- Serial correlation in optimal design for nonlinear mixed effects models
- Optimised protocol design for the screening of analgesic compounds in neuropathic pain
- The use of a modified Fedorov exchange algorithm to optimise sampling times for population pharmacokinetic experiments
- Application of ED-optimality to screening experiments for analgesic compounds in an experimental model of neuropathic pain
- D‐optimal designs for parameter estimation for indirect pharmacodynamic response models
- Design of population pharmacokinetic experiments using prior information.
- Population Pharmacokinetic Modeling and Optimal Sampling Strategy for Bayesian Estimation of Amikacin Exposure in Critically Ill Septic Patients
Related papers
- ROLES AND PROBLEMS OF DATA COLLECTION FOR STUDENTS' EVALUATION AT THE JUNIOR SECONDARY SCHOOL IN NIGERIA
- The Decision Process Equivalency of Electronic Versus Pencil-and-Paper Data Collection Methods
- I-Optimal Design of Mixture Experiments
- I-optimal mixture designs
- Towards a better Estimation of the Parameters of Linear Regression Models: The Optimal Designed Experiment Approach
- Application of DOE for Optimal Turbomachinery Design
- PCA Combined Model-Based Design of Experiments (DOE) Criteria for Differential and Algebraic System Parameter Estimation
- Optimal experiment design for cardinal values estimation: guidelines for data collection.
- An R-Shiny application to calculate optimal designs for single substance and interaction trials in dose response experiments.