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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

Items 1 to 15 of 19 total

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  1. 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!

    YouTube icon View the webinar here

  2. 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.

    YouTube icon View the webinar here

  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 Analytics 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. Basics of Response Surface Methodology (RSM) for Process Optimization, Part 2

    Level: Intermediate
    First presented on Feb 21, 2012

    Response Surface Methods (RSM) can lead you to the peak of process performance. In this webinar, Shari Kraber introduces the fundamental concepts of response surface methods (RSM). You will look at the central composite design and learn about multiple response optimization while working through an actual case study application. The encore presentation by Brooks Henderson was on Wednesday, February 22nd.

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

  11. Basics of Response Surface Methodology (RSM) for Process Optimization, Part 1

    Level: Intermediate
    First presented on Oct 17, 2011

    Response Surface Methods (RSM) can lead you to the peak of process performance. In this webinar, Shari Kraber introduces the fundamental concepts of response surface methods (RSM). You will look at the central composite design and learn about multiple response optimization while working through an actual case study application.

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

  12. Practical Aspects of Algorithmic Design of Physical Experiments

    Level: Intermediate
    First presented on Oct 11, 2011

    Was presented on Wednesday, October 12th, 2011 at 1 pm to the ASQ Stat Division.

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

  13. DOE Made Easy and More Powerful via Version 8 of Design-Expert® Software

    Level: Intermediate
    First presented on Sep 20, 2010

    Through a series of three webinars, Stat-Ease introduces an array of statistical methods for design of experiments (DOE) made easy and more powerful via version 8 of Design-Expert software. This first webinar highlights key features from simple to sublime, culminating in the design and analysis of a high-level factorial case-study.

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

  14. Problems Analyzing Historical Data

    Level: Intermediate
    First presented on Sep 15, 2009

    Explore the pitfalls and treacherous territory of analyzing historical data. See the damage that collinearity, nonsense correlations, feedback loops, and other data problems can do to your analysis. This is why we recommend that you do well-designed experiments!

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

  15. How to Plan and Analyze a Verification DOE

    Level: Intermediate
    First presented on Dec 28, 2008

    Applications of DOE during Verification Stage

    Companies are gradually learning that design of experiments (DOE) can be a useful tool during the final verification stage of a product or process. Rather than just testing the extremes one factor at a time, a DOE can cover the expected range of production variation and confirm that the final production conditions will make product within specification. The underlying difficulty in this application is that the desired DOE result is to have NO significant effects. This talk demonstrates how to confirm that the DOE chosen has the correct power to detect effects IF they exist. The design must be capable of doing the job. After collecting data a variety of potential results to estimate power are presented on half-normal plots. The interpretation of each plot will be discussed.

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

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