Live In-Person Event

Smarter Experiments for Faster Innovation

Join us for an interactive, in-person seminar focused on practical strategies for strengthening DOE models and avoiding common mistakes that compromise results.

Date: Wednesday, November 4

Arrival, registration, and networking: 9:00-9:30 a.m.
Kick off the day with coffee and informal conversation with JMP experts and peers.

Main program: 9:30-11:45 a.m.
Lunch: 11:45 a.m.-12:45 p.m.
Afternoon sessions: 12:45-3:00 p.m.
Adjournment: 3:00 p.m.

Location: MassBio
700 Technology Square, 5th floor
Cambridge, MA
02139
Registration: Free, but registration is required

Avoiding Common DOE Pitfalls: Building Models You Can Trust

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 quality challenges.

This session focuses on practical strategies for strengthening DOE models and avoiding common mistakes that compromise results.

Learn how to:

• Ensure modeling assumptions have been met.
• 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.

Attendance is limited. If you plan to join us, please register as soon as possible.

Arrival, registration and networking

Time: 9:00-9:30 a.m.

Smarter experiments, better decisions: A roadmap

Time: 9:30-10:30 a.m.

Reading the residual tea leaves: Diagnosing and fixing model misfit

This is a hands-on session. Please remember to bring your own laptop.

Time: 10:45-11:45 a.m.

Networking lunch

Time: 11:45 a.m.-12:45 p.m.

Beyond normalcy: Building model you can trust for real-world data

This is a hands-on session. Please remember to bring your own laptop.

Time: 12:45-1:45 p.m.

Sorting signal from noise: Fixed and random effects done right

Time: 2:00-3:00 p.m.

Adjournment

Time: 3:00 p.m.