Webinars

Stat-Ease Webinars

Stat-Ease is proud to offer free webinars to those interested in Design of Experiments (DOE). Presented on a regular basis, topics range from beginner to advanced levels. Material may be new or drawn from our ever-popular DOE workshops.

See the list of upcoming and past webinars below. If you attended one of our presentations (or just wish you had) we invite you to download a copy of it for your review.

If there is a particular subject you are interested in and don't see below, send us an e-mail and let us know. If there is enough interest, we may present your topic in a future webinar.

Thank you for visiting Stat-Ease. We appreciate your interest!



Webinars

Stat-Ease webinars vary somewhat in length depending on the presenter and the particular session—mainly due to breaks for questions: Plan for 45 minutes to 1.5 hours, with 1 hour being the target median. When developing these one-hour educational sessions, our presenters often draw valuable material from Stat-Ease DOE workshops.

Attendance may be limited for these webinar sessions. To sign up for the current webinar, look for the date and time you would like to attend and click on the corresponding link. Contact our Client Specialist, Rachel Pollack, with any questions.

Please note: We recommend you test your computer in advance. Click here for details.

Testimonial:
"Thank you very much for the continuing education opportunities through Stat-Ease's webinar offerings. Brooks did a fine job yesterday presenting RSM Part 2. I've also listened to past webinars presented by other instructors and they also do an excellent job of explaining DOE. Thank you, Stat-Ease!"
—Jeff Reimer, Principal Scientist, Sigma-Aldrich Corporation

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  1. Graphical Selection of Factorial Effects: What’s In It for You

    Level: Beginner
    First presented on Jan 31, 2017

    Will be presented by Mark Anderson two times in January for your scheduling convenience.

    Tuesday, January 31, 2017 at 6:30 am - 7:30 am CST* (for Europe, Africa, India, the Middle East and western Asia, others welcome!)

    Thursday, February 2, 2017 at 11:00 am - 12:00 pm CST* (for the Americas and Caribbean, others welcome!)

    *To find out what time the meeting is in your city, click here for a link to The World Clock Meeting Planner.

    By way of a variety of case studies, this webinar on design of experiments (DOE) provides insights into graphical approaches—half-normal and Pareto plots—that assess effects at a glance—a huge advantage for experimenters who get overwhelmed by esoteric statistical reports.  It details an impressive number of enhancements incorporated in Design-Expert® and Design-Ease® software to:

    • deploy these graphical tools over a broad array of factorial designs (including multilevel categoric and split plot),
    • make them more robust to missing data and non-orthogonal levels, and
    • provide interactive layouts that lead to good decisions on sorting out the vital few effects from the trivial many.

    See how Stat-Ease makes selection of factor effects easy for its users.

  2. Taking Advantage of Automated Selection Tools for Response Surface Modeling

    Level: Intermediate
    First presented on Aug 9, 2016

    Will be presented by Martin Bezener two times in August for your scheduling convenience.

    Tuesday, August 9th, 2016 at 6:30 am - 7:30 am CDT* (for Europe, Africa, India, the Middle East and western Asia, others welcome!)

    Wednesday, August 10th at 11:00 am - 12:00 pm CDT* (for the Americas and Caribbean, others welcome!)

    *To find out what time the meeting is in your city, click here for a link to The World Clock Meeting Planner.

    After a response surface method (RSM) experiment is performed, one of the critical issues becomes selection of a good empirical model. Recently, automatic model selection tools have become very popular, especially in situations where there are a large number of factors. While these tools are fast and easy to use, some caution must be exercised, particularly if the design space is constrained (e.g. a mixture design) or irregularly shaped. In this webinar, Martin will provide a brief overview to model selection in RSM, and will discuss the pros and cons of several automatic model selection techniques and criteria. Examples using the Design-Expert® software, version 10 will be given.

  3. Multivariate Analysis and Design of Experiments in Practice Using The Unscrambler X®

    Level: Intermediate
    First presented on Apr 21, 2016

    Was presented by Frank Westad, PhD, Chief Scientific Officer, CAMO Software and Pat Whitcomb, Founding Principal of Stat-Ease, Inc. on April 21st, 2016.

    Learn about how multivariate analysis (MVA) methods in combination with Design of Experiments (DoE) tools can be deployed to pinpoint optimal material properties. This webinar will demonstrate how to build an optimal design from principal components and use the DoE results to find an optimal compound. We will provide real world examples of how The Unscrambler® X can be put into practice in context of R&D, engineering and manufacturing.

    Register today if you are a researcher or data analyst with large or complex data sets you need to understand better and get deeper insights from. Scientists working in process analysis, chemometrics, spectroscopy, metabolomics or sensometrics, will also find valuable insights on how to enhance their work.

  4. What's New and Exciting in v10 of Design-Expert Software

    Level: Beginner
    First presented on Apr 18, 2016

    Was presented by Pat Whitcomb two times in April.

    Monday, April 18th, 2016 at 6:30 am - 7:30 am CDT* (for Europe, Africa, India, the Middle East and western Asia)
    Monday, April 25th at 11:00 am - 12:00 pm CDT* (for the Americas and Caribbean)

    In this webinar, Pat Whitcomb, Founder of Stat-Ease, Inc., welcomes you to version 10 of Design-Expert software (DX10) for design of experiments (DOE). He hits on the highlights of what’s new and what’s in it for you. For a preview of what’s in store, look here. As a practical matter, the most valuable addition may well be the extension of split-plot design and analysis to response surface and combined designs. Pat provides an enlightening demonstration of this and many other cool new features that provide convincing evidence of why version 10 is a significant step forward from version 9.

  5. Unleashing Evaluation: Giving Perspective to Power, Precision, and Problems

    Level: Intermediate
    First presented on Jan 5, 2016

    Was presented by Wayne Adams three times in January.

    Tuesday, January 5 at 5:30 am USA-CST (for Europe, Africa, the Middle East and western Asia)
    Wednesday, January 6 at 11 am USA-CST (for the Americas and Caribbean)
    Thursday, January 7 at 8:00 pm USA-CST (for eastern Asia and Oceania)

    In this webinar titled “Unleashing Evaluation: Giving Perspective to Power, Precision, and Problems”, Stat-Ease Consultant Wayne Adams looks at the often neglected tools for evaluating the capability of a design. Wayne will show the usefulness of these tools to choose from alternative experiment designs upfront and assess after-the-fact the negative impact caused by unplanned changes. Sign up now to reserve your spot and learn how to ensure that your hard work remains focused on your goal.

  6. Split-Plot Pros and Cons

    Level: Intermediate
    First presented on Aug 17, 2015

    Was presented by Pat Whitcomb three times in August.

    Monday, August 17 at 8 pm USA-CDT* (for eastern Asia and Oceania)
    Wednesday, August 19 at 11 am USA-CDT* (for the Americas and Caribbean)
    Thursday, August 20 at 6:30 am USA-CDT* (for Europe, Africa, the Middle East and western Asia)

    In this webinar titled “Split-Plot Pros and Cons”, Stat-Ease Consultant Pat Whitcomb illustrates how to take best advantage of factorial designs geared for hard-to-change process settings. While running through a number of case studies with Design-Expert® software, he will provide statistical details and practical advice on the pluses and minuses created by the split-plot factor layout.

  7. Practical Strategies for Model Verification

    Level: Intermediate
    First presented on Mar 16, 2015

    Was presented by  Martin Bezener three times in March.

    Monday, Mar 16, 2015 at 8:00 - 9:30 PM CDT (for Asia and Australia)
    Wednesday, Mar 18, 2015 at 5:30 - 7:00 AM CDT (for Europe and India)
    Thursday, Mar 19, 2015 at 11:00 AM - 12:30 PM CDT (for North America)

    In most industrial experiments a small number of confirmation runs are performed after statistical analysis to check the validity of the model, but this is not always possible. In this webinar, Martin will first review some basic topics about model confirmation. He will then discuss an alternative approach which allows design and confirmation runs to be performed in a single experiment. Examples using Design-Expert® software, version 9 (DX9) will be given.

  8. A Flexible Strategy for More Effective Experimentation—Taking Designs Apart and Putting Them Together Again

    Level: Intermediate
    First presented on Oct 22, 2014

    Was presented by Shari Kraber on October 22, 23, and 24, 2014.

    In this webinar Shari provides methods for creating experiment designs progressively so that knowledge can be gained steadily via iterative steps. Using Design-Expert® software she will also demonstrate how to augment completed designs that fall short of adequately modeling the critical response(s). This might salvage a great deal of experimental work that would otherwise go for naught. The webinar will illustrate all concepts with practical, real-world examples. The information will be presented at an intermediate level. The audience is assumed to have some working knowledge of factorial and response surface method (RSM) designs.

  9. I Really Would Rather Not Randomize My Experiment!!!

    Level: Beginner
    First presented on Jun 9, 2014

    Was presented by Wayne Adams on June 9, 10, and 11, 2014. 

    Stat-Ease Consultant Wayne Adams discusses the pros and cons of restricting the randomization of an experiment.  He provides practical advice on how to properly screen and characterize hard-to-change (HTC) factors (for example oven temperature) via factorial split-plot designs—a new feature provided by version 9 of Design-Expert® software (DX9).  Reserve your Webinar seat now at by clicking on one of the links above.

  10. Design-Expert® Software: Why Version 9 is Mighty Fine!

    Level: Beginner
    First presented on Mar 4, 2014

    Presented by Mark Anderson on Tuesday, March 4, 2014 at 5:30 AM - 6:30 AM CST (for Europe and India), again on Wednesday, March 5, 2014 at 8:00 PM - 9:00 PM CST (for Asia and Australia), and lastly on Thursday, March 6, 2014 at 11:00 AM - 12:00 PM CST (for North America).

    In this webinar, Mark Anderson, Principal of Stat-Ease, Inc., welcomes you to version 9 of Design-Expert software (DX9) for design of experiments (DOE). He hits on the highlights of what’s new and what’s in it for you. For a preview of what’s in store, look here. As a practical matter, because this accommodates hard-to-change factors, the most valuable addition may well be split-plot design and analysis for factorials—two-level, multilevel categoric (general), and optimal. Mark provides an enlightening demonstration of this and many other cool new features that provide convincing evidence of why version 9 is mighty fine!

  11. How Many Runs Do I Need? How to Use Power and Precision to Size Factorial, Response Surface Method and Mixture Designs

    Level: Intermediate
    First presented on Oct 14, 2013

    Presented by Brooks Henderson on Tuesday, October 15th, 2013 at 8 pm USA-CDT (for Asia and Australia), again on Thursday, October 17th, 2013 at 11:00 am USA-CDT, and lastly on Friday, October 18th, 2013 at 6:30 am (for Europe and India).

    This webinar will answer the question: "How many runs do I really need?". It will begin with a review of power calculations to determine if a factorial design provides enough runs to detect important effects. Power, however, is not the appropriate tool to evaluate mixture and response surface method (RSM) designs. To properly size these experiments for optimization of products and processes, we advise using fraction of design space (FDS) as a tool. It will also discuss power, FDS, and how to apply these measures appropriately for sizing experiment designs—including how to determine a design space that meets specifications for Quality by Design (QbD).

  12. Quality by Design (QbD) Space for Pharmaceuticals and Beyond

    Level: Intermediate
    First presented on Jul 1, 2013

    Presented by Wayne Adams on Tuesday, June 25th, 2013 at 11:00 am USA-CDT, with encore presentations on Thursday, June 27th, 2013 at 6:30 am USA-CDT and Tuesday, July 2nd, 2013 at 8:00 pm USA-CDT

    Quality by Design (QbD) is a hot topic in the pharmaceutical industry, heavily promoted by the FDA. However, these tools should be used by every industry interested in producing high-quality products. The general concepts are not new, but the tools to implement them have dramatically improved in the last few years. This presentation provides a briefing on QbD along with state-of-the-art response surface methods (RSMs) for developing a robust design space.

  13. How to Get Started with Design-Expert® Software

    Level: Beginner
    First presented on Mar 24, 2013

    Presented by Shari Kraber on Wednesday, February 20, 2013 at 8:00 am USA-CST, with encore presentations on Wednesday, March 20, 2013 at 12:00 pm USA-CDT and Monday, March 25, 2013 at 9:00 pm USA-CDT.

    Geared toward novices to design of experiments (DOE) and Design-Expert software, this presentation demonstrates how to plan, design and analyze a powerful multifactor test. The speaker also provides a ‘heads-up’ on mistakes made by unsuspecting beginners that lead to DOE failures. The goal of this webinar is to set you up for success using Stat-Ease software for your experiments!.

  14. Real-Life DOE

    Level: Beginner
    First presented on Dec 2, 2012

    Presented by Mark Anderson on Wednesday, October 17, 2012 at 8:00 am USA-CDT, with encore presentations on Wednesday, November 14, 2012 at 12:00 pm USA-CST and Monday, December 3, 2012 at 9:00 pm USA-CST.

    Mark Anderson, principal of Stat-Ease, Inc.(Minneapolis, Minnesota, USA) and co-author of the DOE/RSM Simplified textbook series (Productivity, Inc., New York, NY) provides some tricks of the trade that salvaged outstanding results from actual experiments. If you are just beginning with factorial screening and characterization experiments, this webinar is for you! More advanced practitioners might also glean an “aha!” as well, and/or follow up afterward with suggestions that Mark can share via his DOE FAQ Alert e-mail newsletter.

  15. Overview of Robust Design, Propagation of Error, and Tolerance Analysis

    Level: Advanced
    First presented on Jul 10, 2012

    Presented by Pat Whitcomb on Wednesday, May 23rd, 2012 at 2:00 pm CDT, with an encore presentation on July 11, 2012 at 10:30 am CDT.

    Response Surface Methods (RSM) can lead you to the peak of process performance. In this advanced-level webinar, Stat-Ease Consultant Pat Whitcomb will discuss robust design, propagation of error, and tolerance analysis. Propagation of error (POE) accounts for variation transmitted from deviations in factor levels. It finds the flats—high plateaus or broad valleys of response, whichever direction one wants to go—maximum or minimum; respectively. Tolerance analysis drills down to the variation of individual units, thus facilitating improvement of process capability.

    If you are working to make your system more robust, this webinar is for you! It will be especially valuable to those involved in Design for Six Sigma (DFSS).

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