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Session ID: 2023-EU-30MP-1264

An Introduction To Spectral Data Analysis With Functional Data Explorer in JMP® Pro 17

Ryan Parker, Senior Research Statistician Developer, JMP
Clay Barker, Principal Research Statistician Developer, JMP

Topic: Design of Experiments
Level: II

Since the Functional Data Explorer was introduced in JMP Pro 14, it has become a must-have tool to summarize and gain insights from shape features in sensor data. With the release of JMP Pro 17, we have added new tools that make working with spectral data easier. In particular, the new wavelets model is a fast alternative to existing models in FDE for spectral data. This presentation introduces these new tools and how to use them to analyze your data.
Session ID: 2023-EU-30MP-1193

Approaches To Comparisons with JMP® 17

Mark Bailey, Senior Analytics Software Tester, JMP
Jianfeng Ding, Senior Research Statistician Developer, JMP

Topic: Quality and Reliability
Level: I

It is common to need to compare two populations with only a sample of each population. Statistical inference can help the comparison. Our presentation is about inference involving two hypotheses: the alternative hypothesis and the null hypothesis. Sometimes the goal is to provide sufficient evidence to decide that there is a significant difference between two populations. The goal at other times is to provide sufficient evidence that there is significant equivalence, non-inferiority, or superiority between two populations. These two situations require different tests. We will review these situations, appropriate hypotheses, and appropriate tests using common examples. Another common comparison is between two measurements of the same quantity. Our presentation will focus instead on the Method Comparison protocol for chemical and biological assays used by pharmaceutical and biotechnology development and manufacturing. We will present two methods that are available in JMP® 17 to assess the accuracy of a new test method against an established reference method. One method is known as Deming regression or Fit Orthogonal in JMP. The second method is known as Passing-Bablok regression. We will review the background of assessing accuracy and the unique nature of data from method comparisons, and demonstrate both regression methods with examples.
Session ID: 2023-EU-30MP-1334

Automated Extraction of Data From PDF Documents Using the Customized JMP Add-ins

Peter Vogel, Statistical Expert, CSL Behring Innovation GmbH

Topic: Data Access and Manipulation
Level: III

In many instances, relevant data exists, yet often, it is not directly accessible, and either cannot be utilized for data-driven analyses or requires painstaking manual efforts to extract. One classical instance of this type is PDF documents. In this presentation, we will demonstrate an example of standardized PDF reports in the Laboratory Information Management Systems (LIMS) and how the JMP Scripting Language can automate data extraction from these PDF files. The presentation will also show how the resulting scripts can be packaged as an Add-in for distribution to many users.
Session ID: 2023-EU-30MP-1268

Automated Process of Collecting Product Test Data and Creating Alarm Reports for Root Cause Analysis

Astrid Ruck, Senior Specialist in Statistics, Autoliv

Topic: Quality and Reliability
Level: II

One of the most important product test machines (ATOS) is investigated in this global Autoliv project with the target of introducing an automated alarm system for product test data and a root cause analysis. We wanted a flexible automated software solution to transfer data into an SQL database and perform a root cause analysis. Furthermore, we wanted to send web-based links of reports to an existing “leading-to-lean” (L2L) dispatch system, which informs machine owners via mail. We use JMP to automate all processes via Task Scheduler for all these tasks.
Session ID: 2023-EU-30MP-1194

Automatic Data Refresh in JMP® Live 17

Brian Corcoran, Director of Research and Development, JMP

Topic: Data Access and Manipulation
Level: II

In past Discovery talks, we've shown how to acquire data, create a report, and publish it to JMP® Live using the desktop task scheduler. But what if your JMP Live report does not change daily? What if only the data changes, and you want to share those updates with your colleagues? JMP Live can now schedule the refresh of your data on JMP Live without having to publish your work again. This presentation will show how to use this new capability and discuss this new feature in the context of JMP and JMP Live plans.
Session ID: 2023-EU-30MP-1318

Automatization of Immunohistochemistry Data Analysis for Protocol Validation

Marie Gerus-Durand, Principal Scientist / Validation Engineer, Cerba Research

Topic: Quality and Reliability
Level: I

Cerba Research is a global company providing high-quality, specialized analytical and diagnostic solutions for clinical trials. Cerba Research Montpellier develops customized immunohistochemistry protocols to detect the expression of selected targets on patients’ tissue sections. To be used in clinical trials, these protocols must meet the regulatory agencies’ criteria to ensure that the protocol will allow consistent results on precious patients’ samples. With the diversity of parameters evaluated and the types of evaluation possible in implementing these custom protocols, automating data analysis became a need quickly. Thanks to various JMP® tools, we have developed an automated analysis that saves time and homogenizes protocol performance reports by including statistical and graphical data in a Dashboard. This process, submitted as JMP Add-in, has been incorporated into our user workflows, thus facilitating our procedures.
Session ID: 2023-EU-30MP-1260

Data Driven Selection as a First Step for a Fast and Future Proof Process Development

Egon Gross, Research & Technology Manager, Symrise AG
Peter Hersh, Senior Systems Engineer, JMP
Bill Worley, Senior Global Enablement Engineer, JMP

Topic: Data Exploration
Level: II

This talk will focus on how JMP® helped drastically reduce the cultivation experimentation workload and improved response from four up to 30-fold, depending on the target. This was accomplished by screening potential media components, generally the first, and sometimes tedious, step in fermentation optimizations. Taking characteristic properties such as the chemical composition of complex components like yeast extracts enables flexibility in the case of future changes. We describe the procedure for reducing the workload using FT-MIR spectral data based on a DSD setup of 27 media components. After several standard chemometric manipulations, enabled by different Add-ins in JMP® 16, the workload for cultivation experiments could be drastically reduced. In the end, important targets could be improved up to approximately 30-fold as a starting point for subsequent process optimizations. As JMP® 17 was released in the fall of 2022, the elaborate procedure in version 16 will be compared to the integrated features. It might give space for more inspiration – for developers and users alike.
Session ID: 2023-EU-30MP-1271

Deep Dive: Publishing To JMP® Live

Aurora Tiffany-Davis, Principal Software Developer, JMP

Topic: Data Exploration
Level: II

JMP Live is our secure collaboration platform for JMP content. The first step to collaborating is publishing your content to JMP Live. We start with the simple case of publishing a report, then dive into the flexibility available to you if you need it. In this presentation, we will demonstrate how to publish and replace reports, use existing data that's already on JMP Live, and publish and replace data alone (so that others can use it in their analyses). We'll also cover how to select (or create) a place to put your published content and how to do it all with JSL.
Session ID: 2023-EU-30MP-1333

Development of Predictive Single Event Latchup Model

Laurence Montagner, Principal Technology Hardening Engineer, Microchip Technology Rousset
David Truyen, Principal Technology and Development Engineer, Microchip

Topic: Design of Experiments
Level: I

To address the new space market focused on cost reduction, the use of COTS (circuit on the shelves) products is a good option. To be compliant with space reliability, COTS must be evaluated and modified to meet space agency specifications, especially on Single Event Latchup (SEL). This effect occurs by the strike of a heavy ion on the circuit. The transmitted energy to the matter (LET) triggers the parasitic thyristor and induces the latchup. The SEL sensitivity is characterized by the LET threshold and the holding voltage criteria. Until now, to evaluate LET threshold, TCAD simulation and experimental tests were performed, but TCAD is time consuming and irradiation sessions are very expensive. An analytical model LET threshold is a solution to obtain a quick estimation at lower cost and could help to harden the product to radiation. JMP is well adapted to assist in building and analyzing the results of a design of experiment (DOE). Its profiler is adapted to find best combination of the inputs to meet LET threshold criteria.
Session ID: 2023-EU-30MP-1235

Do You Trust Me? Assessing Reliability for Driver-assisted Autonomous Vehicles

Caleb King, Research Statistician Tester, JMP
Peng Liu, Principal Research Statistician Developer, JMP

Topic: Quality and Reliability
Level: II

Autonomous vehicles, or self-driving cars, no longer only live in science fiction. Engineers and scientists are making them a reality. Their reliability concerns, or more importantly, safety concerns, have been crucial to their commercial success. Can we trust autonomous vehicles? Do we have the information to make this decision? In this talk, we investigate the reliability of autonomous vehicles (AVs) produced by four leading manufacturers by analyzing the publicly available data that have been submitted to the California DMV AV testing program. We will assess the quality of the data, evaluate the amount of information contained in the data, analyze the data in various ways, and eventually attempt to draw some conclusions from what we have learned in the process. We will show how we utilized various tools in JMP® in this study, including processing the raw data, establishing assumptions and limitations of the data, fitting different reliability models, and finally selecting appropriate models to draw conclusions. The limitations of the data include both quality and quantity. As such, our results might be far from conclusive, but we can still gain important insights with proper statistical methodologies.
Session ID: 2023-EU-30MP-1315

Generating and Evaluating Lot Acceptance Sampling Plans using JMP®

Stan Koprowski, Senior Systems Engineer, JMP
José Ramírez, Industrial Statistician

Topic: Quality and Reliability
Level: I

In a regulated environment, systems are put in place to ensure product safety, efficacy, and quality. Even though ‘You cannot inspect quality into a product.’, as Harold F. Dodge said, the CFR - Code of Federal Regulations, 21CFR820.250(b) states, “Sampling plans, when used, shall be written and based on a valid statistical rationale.” Lot acceptance sampling plans (LASP) provide the statistical rationale and have been used in many industries. Practitioners, however, usually rely on the tables in ANSI/ASQ Z1.4 (attributes) and Z1.9 (variables). Since the operating characteristic (OC) curve is the best way to evaluate and compare lot acceptance sampling plans, an add-in was needed to facilitate this process. The evolution of appropriate sampling plans within the biotech or medical device industries that balance the customer design requirements and technology opportunities lead us to develop an interactive JMP Add-in for designing and evaluating valid lot acceptance sampling plans for attributes and variables. During this highly interactive session using JMP, we will demonstrate how to use the add-in to efficiently design and evaluate lot acceptance sampling plans by showcasing its flexibility and ease of use.
Session ID: 2023-EU-30MP-1337

Lost? Use JMP® Search!

Evan McCorkle Principal Software Developer, JMP

Topic: Data Exploration
Level: I

Do you or your colleagues ever wonder if JMP can do a particular analysis? It probably can, and now in JMP 17 there is a new way to find out how. JMP Search is a new help capability that can guide you to JMP features and other resources like the JMP Community. Whatever your experience with JMP, it is designed to help find new-to-you features or re-find features you have used but forgotten. You will learn to use JMP Search for data manipulation, statistical analyses, and visualizations. And we will touch on some of the underlying technology behind JMP Search and how you can use it yourself.
Session ID: 2023-EU-30MP-1246

Osisoft PI Connector in JMP® 17: Extending Easy Buttons for Data Access

Hadley Myers, Systems Engineer, JMP
Peter Hersh, Senior Systems Engineer, JMP

Topic: Data Access and Manipulation
Level: I

At the 2021 JMP Discovery Summit Americas , we presented a method for creating an “easy button” for data access, combining, cleaning, filtering, visualizing, analyzing, and generating new data. The use of the singular tense of “button” is not a typo. It only takes one button to perform any combination (or all) of these techniques, thus saving time and allowing problems to be diagnosed earlier. Informed answers to questions that lead to the best possible outcomes can be made faster, ultimately saving costs and speeding products to market. We now utilize the new OSIsoft PI connector in JMP 17 to extend the sources of data that can be quickly and effortlessly imported and everything listed earlier, with just the push of a button.
Session ID: 2023-EU-30MP-1285

Pack, Stack, and Response Screening Hacks: How JMP® Clinical Uses New JMP® 17 Features

Rebecca Lyzinski, Senior Software Developer, JMP

Topic: Data Visualization
Level: I

With version 17, JMP Clinical is now a fully JSL implemented product. This presentation will demonstrate the reimagined JMP Clinical and how it uses new JMP 17 features. Three new features in Tabulate format the tables produced by clinical reports to be publication-ready. Pack combines counts and percentages (or other statistics) into one column, while stack allows multiple grouping variables to be combined into one column. Tables displaying event counts also take advantage of the new Unique ID feature in Tabulate to count events only once per subject identifier. With these three new features, tables can be copied and pasted into any publication or report. JMP Clinical’s risk reports also use JMP’s new Response Screening platform to identify safety signals by calculating risk difference, relative risk, and odds ratio faster than previous versions. With all these new JMP features, JMP Clinical produces publication-ready reports quickly and effectively.
Session ID: 2023-EU-30MP-1274

Staying Organized on JMP® Live and in JMP Projects

Aurora Tiffany-Davis, Principal Software Developer, JMP
Aaron Andersen, Principal Software Developer, JMP

Topic: Data Access and Manipulation
Level: II

JMP Live is our secure collaboration platform for sharing JMP data and interactive JMP reports with colleagues, even if they are not JMP users. JMP Projects are self-contained files that help you organize JMP data tables, reports, scripts, and more. This presentation walks through some strategies for organizing your work in JMP Live (along with your colleagues), organizing your work in a JMP Project, and moving gracefully between collaborative and solo work.