DATA INSIGHT
LIVE WEBINAR
Avoiding Common DOE Pitfalls: Building Models You Can Trust
Date: Tuesday, Aug. 18
Time: 2:00–2:30 p.m. ET | 11:00 a.m. PT
Duration: 30 minutes
Registration: FREE
In design of experiments (DOE), the value of the study depends on the quality of the model. A poorly specified model produces unrealistic predictions, wastes experimental effort, and introduces risk into critical decisions. Over time, weak modeling practices can obscure the true design space and create downstream quality challenges.
This session focuses on practical strategies for strengthening DOE models and avoiding common mistakes that compromise results.
Learn how to:
- Detect and correct unrealistic or misleading model predictions.
- Properly specify fixed and random effects to reflect real-world variation.
- Incorporate non-normal and functional, curve-based responses into DOE models.
Whether new to DOE or refining existing skills, this session provides clear techniques for building models that support confident, defensible decisions.
About the presenters
Andrea Coombs,
Principal Systems Engineer
As a Principal Systems Engineer, Andrea Coombs supports customer development and sales for some of JMP’s biggest customers. Coombs has more than 20 years of experience in applied analytics in several industries, including pharmaceutical manufacturing, pharmaceutical R&D, and agricultural research. She holds undergraduate and graduate degree in life sciences from Michigan State University.
Prior to joining JMP, Andrea served as Senior Industry Consultant for SAS, Senior Data Administrator for the American Board of Emergency Medicine, and Senior Manager of Manufacturing Science and Technology at Emergent Biosolutions.
Mark Zwald,
Senior Systems Engineer
Mark Zwald is a Senior Systems Engineer at JMP, where he supports strategic accounts and customer development in the Western United States.
With nearly 20 years of experience in the semiconductor and consumer electronics industries, Zwald worked as a product engineer for ON Semiconductor, Intel, and Microsoft prior to joining JMP. He holds both a bachelor’s and master’s in applied and engineering physics from Cornell University.