2017 Archived Content


TS2: Introduction to Design of Experiment (DoE)

Day 1: Tuesday October 24, 8:25 AM - 6:30 PM  |  Day 2: Wednesday October 25, 7:55 AM - 12:10 PM


This 1.5-day lecture-based seminar is an introduction course to the concept of Design of Experiments (DoE). First, trainees will learn, using a simple example, the value of DoE and how it can drastically increase the amount of information provided by each experiment. Then, we’ll discuss how to choose the appropriate design for different situations. Trainees will have an overview of the DoE catalog, including the advantage of each type of design (Screening designs, Factorial designs, Response-surface designs, Optimal designs). Finally, attendees will gain an appreciation for the many ways output can be used to better understand and optimize processes.

Instructor: Perceval Sondag, Principal Statistician, Non-Clinical Statistics, Arlenda


  • What is so special about DoE?
  • Plan an experiment
  • Find the appropriate design
  • Overview of DoE catalog
    • Screening designs
    • Factorial designs
    • Response-surface designs
    • Optimal designs
    • Mixture designs
  • Experiments are planned. Now what?
    • Analysis of DoE data
    • Optimization of one or several responses together

Instructor Biography

Perceval SondagPerceval Sondag, Principal Statistician, Non-Clinical Statistics, Arlenda

Perceval Sondag holds a Bachelor Degree in Physical Therapy and a Master’s Degree in Biostatistics, both obtained from the Catholic University of Louvain-la-Neuve in Belgium. After starting his career by implementing statistical thinking in the newly created Operational Excellence department of the Brussels Saint-Luc University Hospital.

He joined Arlenda in 2013 as a Statistician consultant, and moved to the US based team in 2015. He specializes in Bayesian modelling and statistics applied to bioassays and process manufacturing. In addition to his job at Arlenda, providing statistical support for small and big pharmaceutical companies across the globe, he currently works on a PhD thesis about Similarity Testing for Bioassays.  He has authored or co-authored multiple publications, including a book chapter on assay validation.

Who should attend: Members of bioanalytical R&D, those who work in quality control or CMC for biological products, statisticians and biologists who are new to biological assays, and members of industry regulatory groups that support biological products.

Each CHI Training Seminar offers 1.5 Days of instruction with start and stop times for each day shown above and on the Event-at-a-Glance published in the onsite Program & Event Guide. Training Seminars will include morning and afternoon refreshment breaks, as applicable, and lunch will be provided to all registered attendees on the full day of the class.

Each person registered specifically for the training seminar will be provided with a hard copy handbook for the seminar in which they are registered. A limited number of additional handbooks will be available for other delegates who wish to attend the seminar, but after these have been distributed no additional books will be available. 

Though CHI encourages track hopping between conference programs, we ask that Training Seminars not be disturbed once they have begun. In the interest of maintaining the highest quality learning environment for Training Seminar attendees, and because Seminars are conducted differently than conference programming, we ask that attendees commit to attending the entire program, and NOT engaging in track hopping, as to not disturb the hands-on style instruction being offered to the other participants.



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