Mission
The Kinetic Modeling and Simulation (KMAS) Core supports members of the Penn/CHOP CTSA through the planning of experimental designs and clinical investigations as well as the quantitative analysis of such investigations via model-based approaches. A variety of methodologies and techniques are utilized in these endeavors including response surface modeling to aid the construction of efficient dose-response experiments in vitro, nonlinear least squares and moment-based noncompartmental analysis for richly sampled PK and PK/PD analyses, nonlinear mixed-effect modeling and nonparametric analysis (nonparametric EM algorithm) for sparsely sampled, population-based, PK and PK/PD designs, Monte Carlo simulation and Markov Chain Monte Carlo (MCMC) simulation for clinical trial simulation. A variety of algorithms are used to support these efforts (NONMEM, SAS, R, NPEM, WinBUGS, WinNonlin, Trial Simulator) as well as home grown algorithms for specific projects (e.g., discrete event simulation).
