Statistics and Data Science Seminar
Xin Fang
University of Illinois at Chicago (Statistics, MSCS)
Locally D-optimal Designs Based on Combined Emax Model and PK Compartmental Models
Abstract: Both pharmacodynamic (PD) Emax models and pharmacokinetic (PK) one-compartment
models have been well studied and widely used in pharmaceutical industry to
obtain the ADME (absorption, distribution, metabolism and excretion) and
evaluate the efficiency of a drug candidate. However, the implementation of
experimental designs on Emax models is difficult since concentrations of the
drug in blood are uncontrollable. In this talk, two models that combine the PD
and PK models are discussed to address this problem. With the current models,
one can obtain better estimations of the parameters of the ADME and efficiency
of a drug through implementing a locally D-optimal design. A class of robust
designs is also investigated for comparison. Simulation results show that the
robust designs have better statistical properties when sample size is large such
as in clinical trial III, while the locally D-optimal designs are more proper
when sample size is small as in clinical trials I & II.
Drinks,...
Wednesday September 21, 2005 at 3:00 PM in SEO 512