Thought-provoking interviews with leading experts in analytics.
Mission-Oriented Analytics: New Methods for the Intelligence CommunityAlyson Wilson explains her work developing new analytic technologies for the intelligence community.
Why We All Need Data Science SkillsTechnology engineer David Kriesel says every team needs a few people who have a clue about data science.
W.L. Gore: Using Statistics as a Competitive AdvantageGlobal Head of Statistics Maria Lanzerath works with scientists and engineers to ensure that statistics is embedded throughout the manufacturing process.
Innovation in the Chemical Industry With Statistics and DOEKevin White shares how his team at Eastman uses cutting-edge methods to improve products and inform decisions.
Bridging Statistics and Chemical Engineering for Biotech and PharmaJulia O'Neill on accelerating the availability of critical new medicines and modernizing drug manufacturing.
Case studies that demonstrate how to approach real-world data analysis problems.
QbD: Using DOE to Increase Knowledge of the Process and Design SpaceDiscover when to apply design of experiments and how to identify different strategies to suit a variety of experimental needs.
Analytical Method DevelopmentDiscover a new approach that will enable to you to expend as few resources as possible while maximizing the information you get from an assay.
Pharmaceutical Method TransferConduct a successful analytical method transfer with time-saving statistical methods. In this webinar, you’ll learn new best practices to help streamline testing protocols.
Visualization and Analysis in Oncology Trials Using RECISTLearn how specialized interactive visualization reports can help you more effectively evaluate early efficacy signals in oncology therapeutic studies.
Pharmaceutical Product StabilityLearn how to navigate pharmaceutical regulatory requirements with robust analytics.
Statistical techniques for more profitable reliability insights.
Accelerated Destructive Degradation AnalysisSometimes product failures don’t occur until after a long period of performance degradation. Learn how degradation analysis lets you make predictions about failure times across a variety of use conditions.
Accelerated Life TestingIn what situations can accelerated life testing be useful? How can data transformations simplify the modeling process? What common pitfalls need to be avoided? Find out in this webinar with Dr. Bill Meeker.
Bayesian Inference in ReliabilityThe data available to make inferences about reliability is often very limited. Bayesian methods provide a formal way to deal with these situations. Learn how in this webinar with Dr. Bill Meeker.
Probability Plots in Life DistributionFind out how to select the appropriate distribution-specific plotting scale (i.e., normal, Weibull, lognormal) and apply maximum likelihood estimation to extrapolate failure rates into the future.
Using Reliability Block Diagrams in System DesignThrough examples based on personal computers and automobile brakes, Dr. Bill Meeker explains how reliability block diagrams can be used to achieve reliability goals for complex, multi-component systems.
Practical JMP techniques to address common analytic challenges.
Essentials of Designing Experiments Using JMP®JMP DOE tools create controlled sets of tests to model and explore the relationship between factors and one or more responses for your process or product. Learn about the basic types of designs and related terminology essential for making experimental decisions. See case studies that demonstrate how to build, model, refine, interpret and compare results.
Creating, Using and Sharing JMP JournalsSee how to store, present and update analyses and interactive graphical results using JMP journals you can share with JMP users.
Using Blocking When Designing ExperimentsJMP DOE tools incorporate methods to block designs to increase accuracy by controlling for sources of variability (blocking factors) that are not of primary interest to the outcome. Learn about blocking types, when and how to use them, and situations where they may be useful. See case studies creating several types of blocked designs.
Specialized Custom DOE - Augment DesignJMP’s Custom Designer lets you easily, interactively build experiments that handle real-world situations. See case studies that show how to create a design, augment to accommodate constraints, repair broken designs, and create designs for the most relevant factor subset of existing designs.
Specifying and Fitting Models (Basic)Fit Model in JMP and JMP Pro offers a variety of options to interactively and iteratively build and choose useful models. See how to use JMP's Fit Model options and get an overview of JMP Pro's Fit Model Generalized Regression option. Learn when and how to use models that are most useful for different types of responses.
In-depth explorations of analytic best practices and leading-edge data analysis concepts.
Using Experimental Design to Increase Predictability, Optimize Processes and Lower CostsLearn best practices for accelerating learning cycles and reducing costs while tackling complicated challenges with custom DOE.
Improving Product Reliability With Quality By DesignLearn leading-edge new strategies to improve product reliability in the pharmaceutical industry.
Reproducible Experimentation for Diagnostically Driven Drug ResearchMatt Wongchenko and Russ Wolfinger discuss strategies for leveraging data and statistical tools to achieve better, reproducible science.
Modern Genomic Methods for Crop Improvement in Breeding ProgramsEric Jackson and Kelci Miclaus discuss new strategies to increase production and drive selection of healthier crops.
Modern Clinical Monitoring And Quality By DesignLearn the Impact of regulatory guidance on Analytics, the Modern Techniques in Clinical Trial Monitoring and how to use QbD to increase clinical understanding.
Improve your models with modern predictive modeling techniques.
Introduction to Modeling and Model ComparisonHow can you avoid overfitting your models? This video segment will guide you on how to use cross validation, ROC curves, response models and more.
Stepwise RegressionWhen should stepwise regression be used to build a good performing model? This webinar segment has the answer and reviews when to stop adding terms to your model.
Decision TreesPredict customer churn with well-built models. Learn how in this step-by-step video on decision trees.
Advanced Decision TreesAid process improvement with successful root cause analysis. Learn how in this step-by-step guide on random forest techniques.
Neural NetworksExtensive overview of Neural Networks! Learn how to assist with models that are numerically challenging and time-consuming to fit.
