Webinars


Stat-Ease offers free webinars that provide valuable advice on design of experiments (DOE) made easy and powerful via our statistical software. Register for upcoming live presentations below.

Enjoy our comprehensive set of educational webinars on the Stat-Ease YouTube channel!

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"Thank you very much for the continuing education opportunities through Stat-Ease's webinar offerings. The instructors do an excellent job of explaining DOE. Thank you, Stat-Ease!"

—Jeff Reimer, Principal Scientist, Sigma-Aldrich Corporation

Upcoming Live Webinars:

Presented by: Mark Anderson on June 12, 2024
Category: Advanced

This presentation provides practical aspects for combining mixture, process and categorical variables into one optimal experiment-design using innovated "KCV" models. Learn about structuring combined designs with a case study on making delightful chocolate chip cookies.

Can’t make this time? Register anyway so that you are notified when the recording is ready.

Date: Wednesday, June 12, 2024
Time: 10:00am Central US Time


Recorded Webinars:

Presented by: Martin Bezener on May 15, 2024
Category: General DOE

DOE is often presented as a “one shot” approach. It may be more efficient to divide the experiment into smaller pieces, thus expending resources in a more adaptive manner. This sequential approach becomes especially suitable when beginning with very little information about the process, for example, when scaling up a new product. It allows for better definition of the design space, adaption to unexpected results, estimation of variability, reduction in waste, and validation of the results.

Presented by: Mark Anderson on April 17, 2024
Category: General DOE

Learn how multicomponent and multifactor design-of-experiment (DOE) tools empower experimenters to quickly converge on the quality by design (QbD) “sweet” spot—ingredient and factor settings that meet all specifications at minimal cost. All examples come directly from pharmaceutical industries.

Presented by: Richard Williams on Feb. 15, 2024
Category: Beginner

Step up your design of experiments (DOE) know-how via this essential briefing on this multifactor-testing tool. A quick demo lays out what makes statistical DOE so effective for accelerating R&D. Discover how DOE will find your vital few factors and reveal breakthrough interactions.

Presented by: Richard Williams on Feb. 1, 2024
Category: Beginner

Discover what design of experiments (DOE) can do for you when catalyzed with Design-Expert’s world-class statistical tools. Learn about factorial design, the core tool for DOE, followed by a peek at response surface methods (RSM) for process optimization and last, but not least, a look into mixture design for optimal formulation.

Presented by: Mark Anderson on Jan. 10, 2024
Category: General DOE

By way of example, this presentation lays out a strategy for design of experiments (DOE) that provides maximum efficiency and effectiveness for development of a robust process. It provides a sure path for converging on the ‘sweet spot’—the most desirable combination of process parameters and product attributes. Whether you are new or experienced at doing DOE, this talk is for you (and your organization's bottom line!).

Presented by: Steve Zagarola on Dec. 12, 2023
Category: Design-Expert Tips

Mejore su habilidad en diseños de experimentos (DOE) con esta herramienta de prueba multifactorial en esta sesión informativa. Una demostración breve demuestra porque DOE es tan efectivo en acelerar R&D (investigación y desarrollo) y optimización de procesos y productos. En este seminario descubrirá como DOE encuentra los factores vitales más importantes y revela interacciones innovadoras.

Presented by: Shari Kraber on Nov. 30, 2023
Category: Intermediate

Optimize your products and processes with accurate prediction models. Learn how to get the most out of your RSM design by following a few key analysis steps. See how automated model-reduction tools build simpler models that predict more precisely. Then discover how diagnostics confirm your model’s validity. Finally, learn how key statistics like lack of fit and various R-squared measures characterize the polynomial model.

Presented by: Shari Kraber on Nov. 1, 2023
Category: Beginner

Response surface methods (RSM) provide a quick path to the peak of process performance. This webinar presents an array of RSM designs to choose from – central composite, Box-Behnken and optimal (custom). Learn when each design excels. Also find out how to handle categoric factors, discrete numeric levels and complex constraints involving multiple factors. Discover how to set up the right RSM design for your unique experimental needs.

Presented by: Martin Bezener on Oct. 25, 2023
Category: Events

Complete conference information here.

Hour 1: Eric Coppens (ONDRAF/NIRAS) - DoE in the field of nuclear waste management Slides | Video

Hour 2: Richard Williams (Richard Scott Williams LLC) - RSM Saves the Circuit Board Slides | Video

Hour 3: Martin Bezener (Stat-Ease) - The Latest & Greatest in Design-Expert® and Stat-Ease® 360 Slides | Video

Presented by: Mark Anderson on Oct. 24, 2023
Category: Events

Complete conference information here.

Hour 1: Mark Anderson (Stat-Ease) - Masterful experiment delivers delectable chocolate chip cookies Slides | Video

Hour 2: Doug Scott (Optimal Formulations LLC) - Application of DOE in the Development of an Alcoholic Beverage Slides | Video

Hour 3: Steve Zagarola (NWCPE) - What Teaching and the Practice of DOE Teaches Us About Deriving Meaning from any Data Slides | Video

Presented by: Mark Anderson on Aug. 23, 2023
Category: Design-Expert Tips

This practically focused webinar provides tips and tricks for making the most from every response analysis, particularly for optimization of processes and products (mixture formulations). See how to apply sophisticated selection tools in Stat-Ease software to develop your best-possible predictive model. Gain insights on vital fit statistics such as predicted R-squared. Get a feel for picking from alternative models and when to press ahead to achieve your mission for process and/or product improvement. This talk is a must for all users of Design-Expert® and Stat-Ease® 360.

Presented by: Shari Kraber on Aug. 2, 2023
Category: Design-Expert Tips

Discover what you need to know about the diagnostic plots used to validate an analysis of variance (ANOVA). Learn a little about how these plots are made and more importantly, how to interpret the signals that indicate problems with the analysis. In this webinar, we will explore how careful residual analysis can be key to a successful DOE.

Presented by: Martin Bezener on July 11, 2023
Category: Advanced

By removing known sources of variation such as day-by-day, blocking reduces error in statistical analysis, thus providing higher power for estimating effects and greater precision for fitting response surfaces. The technique, however, encounters limitations in some settings. This quick, 30-minute webinar will discuss the basics of blocking and demonstrate fixed vs. random block effects using the powerful, yet intuitive Stat-Ease® 360 software.

Presented by: Oliver Thunich on June 20, 2023
Category: Beginner

Erweitern Sie Ihr Know-How zur statistischen Versuchsplanung (DoE) mit diesem Grundlagenseminar zur Untersuchung und Optimierung multipler Faktoren. Anhand einer kurzen Demonstration erläutern wir die Vorteile statistischer Versuchsplanung im Forschungs- und Entwicklungsumfeld.

Presented by: Martin Bezener on June 14, 2023
Category: General DOE

This webinar details incredibly useful assessments provided by Stat-Ease software for evaluation of any set of input data, whether existing (unplanned) or from a ‘proper’ design of experiments (DOE). Learn how to watch for issues that degrade the information that you hope to extract and strengthen your ability to assess your data quality!

Presented by: Martin Bezener on May 31, 2023
Category: Advanced

Building up from the Mixture DOE Crash Course, this webinar explains how formulators can create experiment designs that combine mixture components with process factors, include categorical factors, and deal with hard-to-change variables.

Presented by: Mark Anderson on May 24, 2023
Category: Beginner

See how multicomponent and multifactor design-of-experiment (DOE) tools empower experimenters to quickly converge on the “sweet” spot—ingredient and factor settings that meet all specifications at minimal cost. All examples come directly from biotech industries.

Presented by: Shari Kraber on April 12, 2023
Category: General DOE

Gleaned from 30 years of running and analyzing designed experiments, these are the things that ultimately lead to great learning opportunities from DOE’s, versus dismal failures with wasted time and effort. Novices to experimentation will benefit from this insightful presentation!

Presented by: Mark Anderson on March 1, 2023
Category: Beginner

If done properly, design of experiments (DOE) provides huge process improvements via small screening studies. Unfortunately, many experimenters deploy designs such as Plackett-Burmans (PBs) that cannot resolve main effects from potential interactions—these being confounded (aliased). This webinar will evaluate more suitable designs for reliable screening at a minimum number of experimental runs.

Presented by: Martin Bezener on Feb. 15, 2023
Category: Advanced

In many cases, experimental data is the result of a deterministic simulation rather than a lab experiment. These may be referred to as computer experiments. In other cases, physical experiments may produce low or zero-error response measurements. Such situations need special experimental designs and data analysis tools. See how Stat-Ease 360 fills this need with via space-filling designs and Gaussian process models.

Presented by: Martin Bezener on Jan. 18, 2023
Category: Beginner

Advance your R&D experimentation skills via this essential webinar on mixture experiments. A compelling demo lays out what makes mixture design of experiments (DOE) so effective for accelerating your formulation efforts. Discover how to: identify key characteristics leading to a mixture experiment, use mixture DOE to create optimal formulations, and map out your sweet spot with graphical tools.

Presented by: Shari Kraber on Jan. 11, 2023
Category: Design-Expert Tips

Discover methods for creating experiment designs progressively so that knowledge can be gained steadily via iterative steps. Learn 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.

Presented by: Alice Croguennoc on Dec. 8, 2022
Category: Design-Expert Tips

Renforcez votre savoir-faire sur les Plans d’Expériences (DOE) grâce à ce webinaire sur cet outil de test multifactoriel. Une démonstration rapide vous expliquera pourquoi les DOE sont si efficaces pour booster votre R&D et vous aider à approfondir vos procédés. Découvrez comment les DOE permettent d’identifier vos facteurs critiques et de mettre en lumière les interactions essentielles.

Presented by: Mark Anderson on Nov. 16, 2022
Category: Science

By way of example, this presentation lays out a strategy for mixture design of experiments (DOE) that provides maximum efficiency and effectiveness for development of an ideal product recipe. It provides a sure path for converging on the ‘sweet spot’—the most desirable combination of components. Learn how to screen down many ingredients to find the vital few and then discover their optimal formulation.

Presented by: Martin Bezener on Oct. 12, 2022
Category: Beginner

After decades of continuous development, Design-Expert® software (DX) leads the field for making design of experiments (DOE) easy. In response to many requests from loyal users, we are proud to now produce Stat-Ease® 360 (SE360). This webinar provides a briefing on the major innovations now available with SE360, and bit of what's in store for the future.

Presented by: Shari Kraber on June 29, 2022
Category: Beginner

Save time and costs by utilizing smaller designs! In this webinar Stat-Ease consultant, Shari Kraber, reveals the information provided by both regular-fraction versus more-modern minimum-run designs—a Stat-Ease invention. Take away a clear guide for selecting the best design based on your factorial DOE objective: screening or characterization.

Presented by: Márcia Cristina Breitkreitz on June 23, 2022
Category: Beginner

Aprimore seus conhecimentos em Planejamento Experimental (Design of Experiments, DOE) por meio deste webinar que abordará os fundamentos desta ferramenta multivariada essencial. Esta explicação rápida irá mostrar porque o Planejamento de Experimentos (DOE) é uma ferramenta estatística tão eficaz para acelerar  sua pesquisa e desenvolvimento. Descubra como é possível identificar fatores importantes e possíveis interações.

Presented by: Mark Anderson on June 10, 2022
Category: Advanced

In this talk, Mark Anderson details cost-saving mixture-process methods invented by statisticians Kowalski, Cornell and Vining (KCV) and implemented by Stat-Ease. The KCV tools streamline combined designs by focusing on the interactions—the hidden gold remaining buried by traditional experimentation. Via a real-world example, Mark will present experiment-design and modeling methods that make combined mixture-process studies practical for chemists.

Presented by: Martin Bezener on March 9, 2022
Category: Intermediate

This webinar provides valuable insights on Stat-Ease® 360 software’s special modeling tools for binary data, counts, and deterministic results (such as those collected from computer simulations). The focus will be on the practical aspects, with minimal emphasis on theory and technical details.

Presented by: Shari Kraber on Dec. 8, 2021
Category: None

Learn how power for factorial designs and precision for RSM and mixture designs can be used to properly size your DOE's to best achieve your objectives.

Presented by: Hank Anderson on Sept. 29, 2021
Category: Design-Expert Tips

Learn how Python has been integrated into Stat-Ease 360. This tutorial walks through connecting Python, extracting data from SE360, and some other more complex examples.

Presented by: Patrick Whitcomb on Aug. 18, 2021
Category: Design-Expert Tips

Learn the differing impacts of running repeated samples or measures, versus replicating runs. Knowledge of the sources of variation in the system and the costs of replicating the DOE run and/or repeating the measure can help one decide which is the best option.

Presented by: Mark Anderson on July 21, 2021
Category: Intermediate

Discover DOE tools aimed at developing systems that hold up when transferred to the field. It features factorials geared for testing many variables in a minimum number of runs—just enough to reveal effects that may lead to failure.

Presented by: Patrick Whitcomb on April 7, 2021
Category: Intermediate

Pat Whitcomb, Stat-Ease founder, illustrates how to take best advantage of 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.

Presented by: Patrick Whitcomb on Dec. 15, 2020
Category: Advanced

In this advanced-level webinar, Stat-Ease Consultant Pat Whitcomb discusses 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.

Presented by: Mark Anderson on Oct. 21, 2020
Category: Intermediate

This talk deals with thorny issues that confront every experimenter: How to handle results that fit badly with your chosen model. Design-Expert software provides graphical tools that make it easy to diagnose what is wrong—damaging outliers and/or a need for transformation.

Presented by: Shari Kraber on Aug. 18, 2020
Category: Optimization

Rollback the covers on the incredibly useful optimization tools provided by Design-Expert® software (DX). Discover how DX manipulates multiple response-models to search out the most-desirable sweet spot. Master the controls for setting goals, changing relative importance, and many other options that lead to an optimal outcome.

Presented by: Patrick Whitcomb on March 4, 2020
Category: Advanced

Pat Whitcomb details the cost-saving mixture-process models developed by Scott Kowalski, John Cornell and Geoff Vining (KCV). Design-Expert® software drops this modeling tool right into the user's hands. See how it reduces the number of model terms and thereby reduces the number of runs required to estimate the complex relationship between mixture and process variables.

Presented by: Patrick Whitcomb on June 12, 2017
Category: Intermediate

Pat Whitcomb reveals some tricks for making the most of your DOE.

  • Using std error to constrain optimization
  • Using Cpk to optimize your DOE
  • Combining categoric factors
  • Using diagnostics to uncover analysis problems

Presented by: Martin Bezener on Aug. 9, 2016
Category: Intermediate

How to use automatic model selection tools to build on appropriate models. Pros and cons of the methods are discussed.

  • Forward/Backward/Stepwise
  • p-value, AICc, BIC, All Subsets