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Latest Posts

• Visualizing co-occurrence using the JMP Network Plot add-in

  Yiran Song, who wrote this blog post, developed the Network Plot add-in as part of her JMP summer internship.

  Richard_Zink

  JMPer Cable |

  Aug 27, 2025 9:00 AM

  331 views | 1 replies
  

• Non-compartmental analysis of pharmacokinetic concentrations

  The forthcoming Pharmacokinetics (PK) report of JMP Clinical 19 summarizes PK concentration data including patient-specific concentration profiles and computes parameters from a non-compartmental analysis.

  Richard_Zink

  JMPer Cable |

  Aug 19, 2025 7:45 AM

  816 views | 0 replies
  

• Getting started with Python integration in JMP® 18

  Get familiar with the Python integrated development environment (IDE) in JMP 18 and learn how to: Locate the Python IDE.Run a simple example.Install Python packages.Run JSL script from Python.Send a Python variable to JSL.Create a JMP data table from Python.

  yasmine_hajar

  JMPer Cable |

  Aug 14, 2025 6:08 AM

  28089 views | 18 replies
  

• Structural equation models with latent variable interactions: How to specify in JMP Pro

  SEM enables us to fit models that contain interactive effects among latent variables. However, these models require careful data preprocessing and can be tricky to specify. This tutorial lays out all the steps with an example in JMP Pro.

  Haley_Yaremych

  JMPer Cable |

  Jul 29, 2025 6:00 AM

  1081 views | 0 replies
  

• A Tour of the Structural Equation Models Platform in JMP Pro 18

  The SEM platform continues to mature after being introduced in JMP® Pro 15. 

  LauraCS

  JMPer Cable |

  Jul 29, 2025 5:45 AM

  2755 views | 0 replies
  

• Introduction to structural equation modelling

    Welcome to my first post about structural equation modelling and its corresponding platform in JMP Pro. I plan on making this a monthly series with posts explaining the principles of structural equation modelling, as well as how to implement these principles within JMP Pro. For this first post, I will introduce structural equation modelling and then briefly explain where it has been used in the...

  jordanwalters

  JMPer Cable |

  Jul 25, 2025 9:02 AM

  6686 views | 6 replies
  

• A taste for the optimum: Baking with Bayesian optimization

  There’s something irresistible about light and fluffy cupcakes! While at first glance these tasty desserts may seem simple, bakers know that achieving the perfect recipe requires tedious testing. In the past, I’ve struggled to master the leavening process. Cupcakes require air bubbles inside the batter to create a light and spongy texture. It’s usually accomplished through two methods: using bakin...

  bradley_bowen

  JMPer Cable |

  Jul 21, 2025 6:00 AM

  1093 views | 3 replies
  

• Assessing the heterogeneity of treatment effects within subgroups

  The forthcoming Subgroup Screening report within JMP Clinical 19 is a straightforward way to assess how the treatment effect (or the treatment response, in the case of single-arm studies) for a particular endpoint can vary across subgroups and which factors might contribute to this heterogeneity.

  Richard_Zink

  JMPer Cable |

  Jul 3, 2025 6:00 AM

  729 views | 0 replies
  

• Introducing the Subgroup role in the Response Screening and Fit Model platforms of JMP Pro 19

  The new Subgroup role in Response Screening and the Response Screening personality of Fit Model make it easy to explore endpoints within subgroups of observations.

  Richard_Zink

  JMPer Cable |

  Jul 1, 2025 6:30 AM

  331 views | 0 replies
  

• A more dynamic survival analysis experience

  The forthcoming Dynamic Survival report for JMP Clinical 19 provides a more informative and interactive experience for summarizing time-to-event endpoints from the ADTTE ADaM domain.

  Richard_Zink

  JMPer Cable |

  Jun 26, 2025 11:32 AM

  765 views | 0 replies
  

• Level up your Python game with JMP

  Do you use JMP and Python? Are you using them independently? Are you using Python for some things and JMP for other things? Did you know that there are many ways they work together? This blog series focuses on highlighting a few ways that JMP and Python work together when tackling a problem. We want you to be aware of these synergies so that you can use both tools together effectively to solve big...

  wendytseng

  JMPer Cable |

  Jun 13, 2025 10:35 AM

  1464 views | 0 replies
  

• Assessing the duration of overlap of medications and adverse events

  The forthcoming Co-occurrence report in JMP Clinical 19 enables users to explore all pairs of occurrences that happen simultaneously within a patient overlapping in time.

  Richard_Zink

  JMPer Cable |

  Jun 9, 2025 6:00 AM

  387 views | 0 replies
  

• Understanding temporal relationships of patient experiences and their importance to patient safety

  The forthcoming Nearby Occurrences report enables users to define reference occurrences of interest and find nearby occurrences that appear within time windows around start or stop dates, as well as those nearby occurrences that may have any overlap in time between reference and nearby occurrences.

  Richard_Zink

  JMPer Cable |

  May 30, 2025 11:49 AM

  446 views | 0 replies
  

• Designing Mixture Experiments with Variant-Specific Constraints

  Have you ever had to create a mixture design with constraints on the concentration of at least one of the mixture components based on its variant? If so, this blog shows you how to tackle this problem in mixture DOE to create a design that is random but also adheres to the desired constraints.   

  yasmine_hajar

  JMPer Cable |

  May 28, 2025 1:18 PM

  2630 views | 1 replies
  

• Mixed model stability analysis

  MikeD_Anderson

  JMPer Cable |

  May 28, 2025 11:23 AM

  2820 views | 0 replies
  

• An overview of features in JMP® Clinical to analyze adverse events

  Richard summarizes all the ways in which JMP Clinical provides greater insight into the safety of novel treatments by reviewing the reports available for adverse events.

  Richard_Zink

  JMPer Cable |

  May 23, 2025 7:22 AM

  458 views | 0 replies
  

• Recurrence: An analysis of adverse events whose time has come in clinical trials

  A recurrence analysis acknowledges that an adverse event may occur more than once within a patient over time and accounts for these re-appearances within the analysis. Going further, recurrence analysis accounts for the timing at which the events occur. The Recurrence Report in the forthcoming JMP Clinical 19 makes it easy to screen a clinical trial for noteworthy safety issues while considering p...

  Richard_Zink

  JMPer Cable |

  May 20, 2025 7:19 AM

  796 views | 0 replies
  

• Digging deep into interactions with the Moderation and Mediation Add-In for JMP Pro

  The Moderation and Mediation Add-In for JMP Pro makes it easy to use methodologies that are popular amongst social scientists (like me!). But these methodologies can be useful in other settings, too. In this blog post, I’ll demonstrate how to use the add-in while modeling chemical purity as a function of catalyst concentration and temperature.

  Haley_Yaremych

  JMPer Cable |

  May 2, 2025 6:00 AM

  530 views | 0 replies
  

• Efficient subgroup visualization: JMP UpSet Plot Add-in for clinical trials and beyond!

  This blog was authored by Shuying Han. Shuying Han developed the UpSet Plot add-in as part of the Biostatistics Undergraduate Summer Internship (BUSI) program at the University of North Carolina at Chapel Hill.     Introduction
  
  Nowadays, statistical studies and clinical trials aim to uncover and communicate the stories within data, transforming raw numbers into meaningful insights. Data visualiza...

  Richard_Zink

  JMPer Cable |

  Apr 24, 2025 9:00 AM

  614 views | 0 replies
  

• New version of the JMP Forest Plot Add-In

  Xueting Wang wrote this blog post. Xueting Wang developed this add-in as part of the Biostatistics Undergraduate Summer Internship (BUSI) program at the University of North Carolina at Chapel Hill.     Introduction What data visualization do you use when you want to view the evidence from different studies and interpret the overall findings of a systematic review? The forest plot is a good choice...

  Richard_Zink

  JMPer Cable |

  Apr 22, 2025 12:31 PM

  675 views | 0 replies