Event Details


Professor Goos will present a framework on mixed level OMARS designs and will illustrate the proposed approach using a case study from a medical-chemical example. This will be followed by Q&A.

Who is this event intended for? Statisticians in the Pharmaceutical Industry who are keen to learn more about OMARS DoE and its application in a pre/non clinical setting.

What is the benefit of attending? Learning about OMARS Design of Experiments in Pre-Clinical settings from Peter Goos the Co-Founder EFFEX (https://www.effex.app/).


  • Peter Goos (Professor of Statistics at KU Leuven)

    Peter Goos

    Professor of Statistics at KU Leuven

    Peter Goos is a full professor at the Faculty of Bio-Science Engineering of KU Leuven, and at the Faculty of Business and Economics of the University of Antwerp, where he teaches various introductory and advanced courses on statistics and probability. His main research area is the statistical design and analysis of experiments. Besides numerous influential articles in various kinds of scientific journals, he published the books The Optimal Design of Blocked and Split-Plot Experiments, Optimal Experimental Design: A Case-Study Approach, Statistics with JMP: Graphs, Descriptive Statistics and Probability and Statistics with JMP: Hypothesis Tests, ANOVA and Regression. For his work, Peter Goos has received four Shewell Awards, two Lloyd S. Nelson Awards, a Brumbaugh Award and the Youden Award of the American Society for Quality, the Ziegel Award and the Statistics in Chemistry Award from the American Statistical Association, and the Young Statistician Award of the European Network for Business and Industrial Statistics (ENBIS). Peter Goos is known for this ability to introduce new design of experiments concepts in an accessible fashion to non-academics.

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