Objectives: In clinical studies it is often of interest to estimate how drug exposure changes with patient characteristics. Pharmacokinetic (PK)…
Read morePoster: Methodology - Estimation Methods
How to simulate pediatric pharmacokinetic (PK) exposures using a population PK dataset composed of incomplete age groups.
Objectives: Conducting clinical trials in the pediatric population is generally a challenge, particularly when trying to ensure that enough patients are…
Read moreEstimation of random variance in NONMEM using different approaches
Objectives: To explore the implication of estimating the variance of random effects as a random effects or fixed components in NONMEM….
Read moreEffects of number of time points and variability on bootstrap f2 method for the comparison of dissolution profiles
Objectives: The importance of dissolution profiles comparison has been widely recognized by the pharmaceutical industry and regulatory authorities due to the…
Read moreEstimation in stochastic differential mixed-effects models
Objectives: The model dynamics is often assumed to be deterministic in traditional mixed-effects modeling. We want to extend the non-linear mixed-effects…
Read moreDismounting Saddles on the Likelihood Surface
Objectives: One issue with parameter estimation in nonlinear mixed-effects models is saddle points on the likelihood surface. A saddle point is…
Read moreInfluence of Covariance Step Success on Final Parameter Estimates
Objectives: To determine if computational stability influences final parameter estimates, and if so how we can assess the quality of…
Read moreTowards population physiology based pharmacokinetics modelling (popPBPK) in an industrial environment
Objectives: Establish Bayesian Population Physiology based Pharmacokinetics (popPBPK) workflow Methods: Over the last decade whole body physiology based pharmacokinetics (PBPK)…
Read moreEffect of dataset characteristics on estimation method performance: a TMDD model example
Objectives: Expectation maximisation (EM) algorithms included in NONMEM from version 7.0 have shown increased numerical stability and reduced parameter bias…
Read moreLinear compartmental pharmacokinetic models : from continuous-time differential form to discrete time auto-regression with extra inputs. Application to system identification.
Objectives: Even for the simplest pharmacokinetic model, the state variable is a nonlinear function with respect to the model parameters. For…
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