ON-DEMAND WEBINAR
Analyzing Curve Data with JMP
Analyzing Curve Data with JMP
We’ll learn more about analyzing two types of curves: curves that can be described by a formula and curves that need to be described with a flexible fit.
Examples of curves that can be described with a formula include:
- dose response curves
- enzyme kinetics
- growth and decay curves
- pharmacokinetics
Examples of curves that need to be described with a more flexible fit include:
- complex growth curves
- chromatograms
- spectroscopy (NIR, NMR, and Raman)
- manufacturing sensor data over time
In this webinar, you’ll learn how tools in JMP will help you better understand the variation in the shape of curves and how to use curves in Design of Experiments and modeling to better understand how input variables effect the shape of curves.
About the Presenter
Andrea Coombs, JMP Statistical Discovery
Coombs spent the first eight years of her career at Michigan State University, where she conducted agricultural research using design of experiments (DOE) and statistical modeling.
Coombs later joined Emergent BioSolutions, where she held a variety of roles, gaining wide-ranging expertise in vaccine manufacturing from process development to GMP commercial manufacturing using Quality by Design (QbD) approaches including DOE, continuous process verification and process and analytical technology. Leading a team of manufacturing science and technology scientists, she also served as lead on several continuous improvement projects and manufacturing investigations, and oversaw an at-scale pilot plant.
Prior to joining JMP, Coombs served as Senior Industry Consultant for SAS.
PRESENTED BY WILEY.
This virtual webinar was moderated by Dr. Christene Smith, Editor at Wiley. On-demand event now available courtesy of a joint partnership with Wiley.
Visit WIley at www.wiley.com.