Understanding and Interpreting Modeling in JMP
Want to understand how to use Fit Model in detail? Come watch this in depth video!
Want to understand how to use Fit Model in detail? Come watch this in depth video!
These videos provide JMP essentials for new users and those who want a refresher. Overviews Getting Started With JMPJMP Tips and Tricks (JMP 18)Better JSL Smoother Migration: How To Fix Your Own Code Automating Your Analysis WorkflowWhat’s New in JMP 17What's New in JMP 18 and 19 Data Preparation From Excel to JMP: Importing, Consolidating and Maximizing the Value of Excel Data NEW Nov. 2026!...
Automating Your Analysis Workflow
The JMP Scripting Language (JSL) will give you the tools you need to make using JMP even more productive. This topic may cover saving scripts to journals and data tables, combining scripts to automate repetitive actions, and creating repeatable and reproducible analyses using the Enhanced Log and Workflow Builder.
This is part of the Get Going with JMP series.
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Attached are the files for the October 19, 2026, JMP Discovery Summit workshops. 1:00 – 2:15pm Which Model When?: A Guide to Knowing Your Options The Story in Your Data: Effective Data Visualization A Graphical Approach to Designing Studies: The One Cool Tool You’re Not Using 2:45 – 4:00pm Work Smarter in JMP: Customization, Shortcuts, and Everyday Efficiency Gains Bayesian Optimization or Tradit...
See how to use JMP and JMP Live to understand the cause of drift using JMP Process Screening, Control Charts, Control Chart Warnings, Model Screening, and JMP Live.
Unlock the Power of Python Integration in JMP® 18 Welcome to the world of JMP 18, where one of the standout features is the enhanced Python integration capabilities. This article is designed to help you understand the value of this powerful tool, along with offering best practices for maximizing its benefits in your data analysis workflows. What Does Python Integration Mean in JMP? How Has P...
Learn about exciting new features in the JMP 18 and 19. This is part of the Get Going with JMP series.
See how to use JMP and JMP Live to understand the cause of drift using JMP Process Screening, Control Charts, Control Chart Warnings, Model Screening, and JMP Live.
This video is a supplement to the Predictive Modeling using JMP Pro course. It shows an example of how oversampling for classification works, both undersampling from the majority target level and oversampling from the minority level. It also demonstrates how to adjust the predicted probabilities for the sampling. You might also be interested in the Imbalanced Classification Add-In, which was disc...
JMP visually and interactively performs advanced statistical analysis, predictive models, design of experiments (DOE), quality and process control, and more to help organizations understand and leverage their data. Easy information sharing in JMP also makes engineering simpler, faster, and more efficient by ensuring everyone in your organization always has the same information and perspective. J...
JMP Live is collaborative analytics software for secure, enterprisewide knowledge sharing. JMP Live gives your experts a platform to contribute their collective voice, positioning your organization to make the most of expert insights and enabling nimble decision-making for critical, time-sensitive demands all from the convenience of a web browser. With JMP Live, your organization can: Create a c...
In reliability analysis, we often do not know the exact event time, number of cycles or other measures of interest for a part failure. Jerry Fish, at a January 2025 Reliability Users Group meeting, summarized how to identify and analyze three basic types of censored data - right censored, left censored, and interval censored.
The Events Distribution report compares distributions of events from any events domain (excluding adverse events) across treatment arms or other demographic variables. It reports each subject only once per event regardless of how many incidents of the event occur. For additional details on interpreting and interacting with this report, please watch the Adverse Events Distribution tutorial linked ...
This report is designed to analyze the distribution of events across treatment arms in clinical studies, focusing on demographics such as age, sex, and race. It considers multiple occurrences of events per subject and reports the number of events per term. Note: this video was recorded in JMP Clinical version 17.2, but applies to version 18 as well. Transcript: In this video, you’ll lear...
Please read! This video was recorded in JMP Clinical 18, and refers to FDA Medical Queries (FMQs). These were renamed Office of New Drugs Custom Medical Queries (OCMQs) by the FDA in 2025, and JMP 19 follows this guidance. (The portion of the video showing the FDA website has been updated to show the new page.) This video demonstrates downloading the Medical Query file and determining the specific...
Generating Adverse Event (AE) narratives manually can be time-consuming and repetitive work. The Adverse Events Narrative report in JMP Clinical enables medical reviewers and writers to generate narratives quickly and efficiently by automating the process of collecting data from various domains and summarizing it for each participant. Transcript: Welcome to this tutorial on the Adverse Events...
Please read! This video was recorded in JMP Clinical 18, and refers to FDA Medical Queries (FMQs). These were renamed Office of New Drugs Custom Medical Queries (OCMQs) by the FDA in 2025. The report name has been updated in JMP Clinical 19 to reflect this guidance, and the functionality of the report is not affected by this change. The Algorithmic Office of New Drugs Custom Medical Query Risk Rep...
The Adverse Events Incidence Rates report provides a detailed analysis of adverse events in clinical trials, focusing on their frequency and incidence rates. Note: this video was recorded in JMP Clinical version 17.2, but applies to version 18 as well. Transcript: In this tutorial, we'll be covering the Adverse Events Incidence Rates report. This report calculates the counts of adverse events, ...
The Interventions Distribution report is a comprehensive tool that allows for the analysis of interventions (such as concomitant medication or substance use) and demographic variables across treatment groups in clinical trials. It ensures that each subject is reported only once per intervention, irrespective of the number of incidents. Note: this video was recorded in JMP Clinical version 17.2, bu...
The Adverse Events Distribution report offers a comprehensive analysis of adverse events across treatment arms, focusing on subgroups defined by demographics like age, sex, and race. Each subject is reported only once per adverse event, regardless of the incident count. Note: this video was recorded in JMP Clinical version 17.2, but applies to version 18 as well. Transcript: This tutorial on t...
The JMP Clinical Data Mapping Tool is an Add-In installed with JMP Clinical 18 that enables you to map column names in various file types, including .sas7bdat, .xls/.xlsx, .csv, .txt, or .jmp files, that may not be CDISC-compliant to variable names from SDTM and save them with proper file names and file extensions (.jmp) for the different data sets used by JMP Clinical. This video provides an ove...
Learn about interactive graphing in JMP JMP produces specialized graphs and plots with supporting tables, statistics and maps. The drag-and-drop interface is intuitive, lets you get started quickly and gives you a ribbon of options to use to select alternate graph types. Advanced features allow you to control format and appearance to create persuasive visualizations. See several case studies...
See how to create a new JMP data table from the active JMP data table by splitting one column into several new columns. This column is split according to the values that are found in another column, referred to as the Split By column. You can also split columns according to the values of one or more grouping variables.
Start building your JMP skills with this short course! Learn the essentials for exploring your data, creating visualizations, and easily recreating your work.
Get up and running with JMP. Learn the essentials for exploring your data, creating visualizations, and discovering insights with confidence.