Pharmacokinetics, Pharmacodynamic, and Statistics

Population techniques: Population analyses using NONMEM.

Pharmacokinetic modeling: Analysis of routine and complicated pharmacokinetic clinical/preclinical issues such as:
• Linear vs. nonlinear absorption
• Saturable elimination
• Metabolite kinetics
• Sparse data
• Drugs with peripheral elimination
• Bioavailability

Pharmacodynamic modeling: Development and analysis of pharmacodynamic models (both direct and indirect) to develop dosing strategies and to evaluate success of clinical trials.

Regression models, other statistics: Linear, non-linear, and logistic regression analysis of sparse data, unbalanced samples, or missing data, using mixed-effects approaches when appropriate.

Clinical trial simulation: Development of dosing and sampling regimens for clinical trials based on available preclinical and clinical data. Simulation of outcomes of clinical trials to evaluate trial design.

Tailor-made solutions include "real time" and imterim analyses to identify issues affecting on-going clinical trials

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