Objectives: Anticancer regimens are often a delicate compromise between dose intensity and acceptable toxicity, for example neutropenia. The aim of…
Read morePoster: Study Design
Trial Sample Size Estimation and Study Design Assessment using Monte Carlo Sampling
Objectives: Construct a simulated clinical trial as close to clinical reality as possible benefitting from available clinical information. Methods: To…
Read moreMultivariate patient simulation for clinical trial optimization in COPD
Objectives: Clinical Trial Simulation (CTS) can be a valuable tool to improve drug development [1]. However, in order to obtain…
Read moreDevelopment of Sparse Sampling Study of Oral Ciprofloxacin for Severely Malnourished Children
Objectives: The population approach is a powerful tool to estimate pharmacokinetic (PK) parameters and to identify inter- and intra-individual variability…
Read moreOptimisation of Screening Experiments for the Assessment of Analgesic Effects
Objectives:Experimental protocols in preclinical drug screening are often based on empirical criteria such as best guess approaches. Practical constraints prevent…
Read moreDose and dose schedule optimization of anticancer drugs
Objectives: Anticancer drug dose and dose schedule are known to affect the tumor response. Tumor growth inhibition (TGI) models establish…
Read moreDesigning a dose-response study analysed by nonlinear mixed effects models
Objectives: Nonlinear mixed effects models (NLMEM) can be used to analyse dose-response trials with several doses in each patient. The…
Read moreEvaluation of Fisher information matrix using Gaussian quadrature in nonlinear mixed effects models: application to dose-response trials
Objectives: Nonlinear mixed effects models (NLMEM) can be used to analyse dose-response trials where each patient received several doses. Design…
Read moreOptimal design for a population pharmacokinetic study of oxycodone in preterm neonates, neonates and infants
Objectives: While the pharmacokinetics of oxycodone in children older than 6 months of age has been characterized, only one study…
Read moreOptimal design of a dichotomous Markov-chain mixed-effect sleep model
Objectives: Optimal design (OD) for discrete-type responses have been derived using generalized linear mixed models [1] and simulation based methods…
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