Objectives: Optimal design of first time in human studies mainly relies on preclinical data for predicting drug exposure and pharmacodynamic effects….
Read morePoster: Methodology - New Modelling Approaches
In silico estimation of oral bioavailability: Implications to estimation of efavirenz PK parameters.
Objectives: To develop methods/models that enable better predictions of pharmacokinetic parameter estimates. There is possible new way of modeling which…
Read moreThe prior subroutine explored: pharmacokinetic modeling of THC
Objectives: To evaluate the Prior subroutine in NONMEM® by comparing model results after using a Prior versus the standard method…
Read moreEvaluation of random forest as an approach for covariate selection
Objectives: Stepwise covariate modeling is a commonly used/accepted procedure for covariate search. This procedure consists of a forward inclusion followed…
Read moreModelling based methods to account for dropout in xenograft experiments
Purpose: Xenograft studies are commonly used to assess the efficacy of new compounds and characterise their dose response relationship [1]. Analysis…
Read moreSimulation-based comparison of MMRM and dose-response MMRM for Ph2b dose-finding design in rheumatoid arthritis
Introduction: The primary analysis of a Ph2b dose-finding study is typically based on pairwise statistical tests of the study arms, using…
Read morePharmpy and assemblerr – Two novel tools to simplify the model building process in NONMEM
The development of pharmacometric nonlinear mixed effect models is a complex, multi-step process. Generally, it begins with an informed starting…
Read moreCharacterization of anti-drug antibodies using a bivariate mixed hidden Markov model
Objectives: Monoclonal antibodies are a well-established therapy for several chronic inflammatory diseases. A phenomenon observed with administration of this type…
Read moreParameter Estimation in Bivariate Mixed Hidden Markov Models
Objectives: Observable stochastic processes may depend on underlying hidden processes that can be modelled with mixed hidden Markov models (MHMMSs), allowing…
Read moreA Liver Model for Chemoprotection Against Malaria
Introduction: Malaria is a deadly threat and to prevent its spread, it is important to protect people from infection, particularly…
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