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Biomedical modeling of pharmacologic data has two main aspects - clinical and preclinical.
Clinical modeling includes three main phases:
- Model Design - The model design phase involves determining the most appropriate pharmacokinetic/pharmacodynamic model which adequately describes the data, considering historical, and preliminary clinical.
- Sampling Strategies - The sampling strategies phase involves determining the most appropriate sampling times (using D-optimality methods): those that provide the most pharmacokinetic/pharmacodynamic information with the least inconvenience to the patients and staff.
- Data Analysis - The data analysis phase involves determining and using the most appropriate nonlinear curve fitting techniques to best describe the data. These include maximum likelihood estimation, maximum a posteriori probability (MAP) estimation for individual results, and linear and nonlinear mixed effects modeling methods for population results.
Preclinical modeling involves many of the clinical aspects along with developing appropriate sampling strategies and parameter estimation methods appropriate to sampling.