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pyDarwin machine learning algorithms application and comparison in nonlinear mixed-effect model selection and optimization
Forward addition/backward elimination (FABE) has been the standard for population pharmacokinetic model selection (PPK) since NONMEM® was introduced....
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The effect of COVID-19 on malaria cases in Zambia: a mixed effect multilevel analysis
BackgroundThe burden of Malaria in Zambia remains a challenge, with the entire population at risk of contracting this infectious disease. Despite...
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Robust and Adaptive Two-stage Designs in Nonlinear Mixed Effect Models
AbstractTo get informative studies for nonlinear mixed effect models (NLMEM), design optimization can be performed based on Fisher Information Matrix...
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Preventative effect of TSPO ligands on mixed antibody-mediated rejection through a Mitochondria-mediated metabolic disorder
BackgroundImmune-mediated rejection was the major cause of graft dysfunction. Although the advances in immunosuppressive agents have markedly reduced...
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Mixed effect estimation in deep compartment models: Variational methods outperform first-order approximations
This work focusses on extending the deep compartment model (DCM) framework to the estimation of mixed-effects. By introducing random effects, model...
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Linear mixed-effect models for correlated response to process electroencephalogram recordings
A data set of clinical studies of electroencephalogram recordings (EEG) following data acquisition protocols in control individuals (Eyes Closed...
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Evaluation of a multiphasic parasite clearance profile after treatment of experimental human infection with the investigational anti-malarial M5717 using segmented mixed effect models
BackgroundEvaluation of parasite clearance patterns in experimental human infection trials helps increase understanding of drug action. In a...
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Conditional Non-parametric Bootstrap for Non-linear Mixed Effect Models
PurposeNon-linear mixed effect models are widely used and increasingly integrated into decision-making processes. Propagating uncertainty is an...
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Pharmacokinetic comparability between two populations using nonlinear mixed effect models: a Monte Carlo study
‘Are two populations the same or are they different’ is a question that is often faced in clinical pharmacology trials e.g., a pharmacokinetic trial...
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Develo** Tools to Evaluate Non-linear Mixed Effect Models: 20 Years on the npde Adventure
This article revisits 20 years of our work in develo** evaluation tools adapted to non-linear mixed effect models. These hierarchical models...
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The effect of methylphenidate and mixed amphetamine salts on cognitive reflection: a field study
RationaleMethylphenidate (MPH) and mixed D,L-amphetamine salts (MASs; Adderall) were previously found to have unreliable effects on judgment and...
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The role of extracellular glutamate homeostasis dysregulated by astrocyte in epileptic discharges: a model evidence
Glutamate (Glu) is a predominant excitatory neurotransmitter that acts on glutamate receptors to transfer signals in the central nervous system....
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Conflict in moral and nonmoral decision making: an empirical study coupled with a computational model
While moral psychology research has extensively studied decision making using moral dilemmas, such high-conflict situations may not fully represent...
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Neuromodulation Through Magnetic Fields Irradiation with AT-04 Improves Hyperalgesia in a Rat Model of Neuropathic Pain via Descending Pain Modulatory Systems and Opioid Analgesia
Neuromodulation through magnetic fields irradiation with ait® (AT-04), a device that irradiates a mixed alternating magnetic fields (2 kHz and...
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Impact of covariate model building methods on their clinical relevance evaluation in population pharmacokinetic analyses: comparison of the full model, stepwise covariate model (SCM) and SCM+ approaches
Covariate analysis in population pharmacokinetics is key for adjusting doses for patients. The main objective of this work was to compare the...
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Model-Based Bioequivalence Analysis to Assess and Predict the Relative Bioavailability of Valproic Acid Formulations
Background and ObjectiveModel-based bioequivalence (MBBE) encompasses the use of nonlinear mixed effect models supporting the estimation of...
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A Mine Water Source Prediction Model Based on LIF Technology and BWO-ELM
The traditional methods for identifying water sources in coal mines lack the ability to quickly detect water sources and are prone to causing...
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The Effect of a 12 Week Mixed-Modality Training Intervention on the Cardio-Metabolic Health of Rotational Shift Workers
PurposeTo assess the effect of a 12 week resistance or aerobic training intervention on markers of cardio-metabolic function and sleep among male...
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Complete sources of cluster variation on the risk of under-five malaria in Uganda: a multilevel-weighted mixed effects logistic regression model approach
BackgroundMalaria, a major cause of mortality worldwide is linked to a web of determinants ranging from individual to contextual factors. This calls...
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A population pharmacokinetic model of remdesivir and its major metabolites based on published mean values from healthy subjects
Remdesivir is a direct-acting anti-viral agent. It was originally evaluated against filoviruses. However, during the COVID-19 pandemic, it was...
