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. Formulation Simplified: Finding the Sweet Spot via Design and Analysis of Experiments with Mixtures

    Level: Beginner
    First presented on Oct 10, 2017

    Was presented by Mark Anderson three times in October.

    1. Tuesday, October 10, 2017 at 6:30 am - 7:30 am CDT* (for Europe, Africa, India, the Middle East and western Asia, others welcome!)
    2. Wednesday, October 11, 2017 at 7:00 pm – 8:00 pm CDT* (for Australia, NZ and eastern Asia, others welcome!)
    3. Thursday, October 12, 2017 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 registering, you will receive a confirmation e-mail containing information about joining the webinar.

    Mark introduces tools for multi-component product development and optimization. He briefs formulators on tailored tools that hone in on optimal recipes. The webinar begins with a compelling case on the mismatch of factorial design and response surface methods to mixture DOE. Then, via real-world examples, he lays out more appropriate designs and models for mixtures that ultimately lead to the “sweet spot”—a formulation meeting all product specifications.

    The webinar is available by clicking on the downloadable files below.

  2. Practical DOE—Tricks of the Trade

    Level: Intermediate
    First presented on Jun 12, 2017

    In this webinar, consultant Pat Whitcomb reveals some new tricks for making the most from your DOE, including an innovative way to expand your search for optimal process conditions when you use response surface methods (RSM). Don’t miss this chance to sharpen up your DOE skills!

    The webinar is available by clicking on the downloadable files below.

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

    Level: Beginner
    First presented on Jan 31, 2017

    By way of a variety of case studies, this webinar by Mark Anderson 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.

    The webinar is available by clicking on the downloadable files below.

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

    Level: Intermediate
    First presented on Aug 9, 2016

    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 Bezener provides a brief overview to model selection in RSM, and discusses the pros and cons of several automatic model selection techniques and criteria. Examples using the Design-Expert® software, version 10 will be given.

    The webinar is available by clicking on the downloadable files below.

  5. 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.

    For researchers or data analysts with large or complex data sets that 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.

    The slides for this webinar are available by clicking on the downloadable file below.

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

    Level: Beginner
    First presented on Apr 18, 2016

    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.

    The webinar is available by clicking on the downloadable files below.

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

    Level: Intermediate
    First presented on Jan 5, 2016

    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.

    The webinar is available by clicking on the downloadable files below.

  8. Split-Plot Pros and Cons

    Level: Intermediate
    First presented on Aug 17, 2015

    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 provides statistical details and practical advice on the pluses and minuses created by the split-plot factor layout.

    The webinar is available by clicking on the downloadable files below.

  9. Practical Strategies for Model Verification

    Level: Intermediate
    First presented on Mar 16, 2015

    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 Bezener first reviews some basic topics about model confirmation. He then discusses 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.

    The webinar is available by clicking on the downloadable files below.

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

    Level: Intermediate
    First presented on Oct 22, 2014

    In this webinar Shari Kraber provides methods for creating experiment designs progressively so that knowledge can be gained steadily via iterative steps. Using Design-Expert® software she also demonstrates 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 is presented at an intermediate level. The audience is assumed to have some working knowledge of factorial and response surface method (RSM) designs.

    The webinar is available by clicking on the downloadable files below.

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

    Level: Beginner
    First presented on Jun 9, 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).

    The webinar is available by clicking on the downloadable files below.

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

    Level: Beginner
    First presented on Mar 4, 2014

    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!

    The webinar is available by clicking on the downloadable files below.

  13. 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

    This webinar by Brooks Henderson answers the question: "How many runs do I really need?". It begins 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).

    The webinar is available by clicking on the downloadable files below.

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

    Level: Intermediate
    First presented on Jul 1, 2013

    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 by Wayne Adams provides a briefing on QbD along with state-of-the-art response surface methods (RSMs) for developing a robust design space.

    The webinar is available by clicking on the downloadable files below.

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

    Level: Beginner
    First presented on Mar 24, 2013

    Geared toward novices to design of experiments (DOE) and Design-Expert software, this presentation by Shari Kraber demonstrates how to plan, design and analyze a powerful multifactor test. She 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!.

    The webinar is available by clicking on the downloadable files below.

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