JMPer Cable

Latest Posts

• 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

  74 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

  87 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 18, 2025 6:47 AM

  204 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

  185 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 |

  Jun 3, 2025 1:40 PM

  2157 views | 1 replies
  

• Writing JSL code dynamically

  Why doesn't my code work when I try to use a variable as an argument to ...?

  Jasean

  JMPer Cable |

  Jun 1, 2025 5:14 PM

  871 views | 2 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 6:00 AM

  284 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

  315 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

  563 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.

  haleyyaremych

  JMPer Cable |

  May 2, 2025 6:00 AM

  408 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

  442 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

  481 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 |

  Apr 21, 2025 5:38 AM

  25315 views | 18 replies
  

• OneDrive and SharePoint Data Connectors Authentication

  This blog post is intended to help you understand and troubleshoot the OneDrive and SharePoint Data Connectors authentication process.

  willmorgan

  JMPer Cable |

  Apr 11, 2025 4:59 AM

  547 views | 1 replies
  

• JMP is Pythonic! Enhanced Python Integration in JMP 18

  JMP 18 has a new way to integrate with Python. The JMP 18 installation comes with an independent Python environment designed to be used with JMP. In addition, JMP now has a native Python editor and Python packages specific to JMP. This JMP Python environment has enhanced connectivity and interaction with JMP, which means using Python with JMP has never been easier. In this series of blog posts, I ...

  SamGardner

  JMPer Cable |

  Mar 26, 2025 10:32 AM

  10677 views | 11 replies
  

• New in JMP® 18: Python jmp.DataTable and pandas.DataFrame

  JMP 18 introduces a lot of new capabilities, including revamped Python support, which allows users to directly access, modify, and create JMP data tables from Python. This is accomplished through the jmp.DataTable Python object.  Keep reading to learn how to create a pandas.DataFrame from a JMP data table, as well as the reverse, a JMP data table from a pandas.DataFrame live and in-memory.

  Paul_Nelson

  JMPer Cable |

  Mar 25, 2025 1:22 PM

  3202 views | 1 replies
  

• Importing and merging multiple XML files

  I needed to import and stack 660 XML files from my exercise activity tracking app. It's easy with the XML Import Wizard and Import Multiple Files in JMP 15.  

  Phil_Kay

  JMPer Cable |

  Feb 26, 2025 3:53 AM

  7011 views | 4 replies
  

• Propeller Perfection: Optimization Using JMP for Efficient Experimentation

  Efficient propeller design is crucial for the electric Vertical Takeoff and Landing (eVTOL) industry, which is projected to reach a market value of $15.8 billion by 2030, according to a report by Market Research Future. Propellers play a key role in optimizing performance, reducing energy consumption, and enhancing flight stability in eVTOL aircraft, which are designed to revolutionize urban air m...

  brycerjs8

  JMPer Cable |

  Feb 24, 2025 9:07 AM

  1061 views | 4 replies
  

• Design evaluation of optimal designs

  Optimal designs use one of several optimality criteria based on the goal of the experiment. Using the design evaluation tools we can compare, and contrast designs based on the goal of the experiment. In each of the case studies below, the tools relevant for each experimental goal are explored.   Summary of practical goals and design evaluation tools I-optimal D-optimal Practical goal: Accurate ...

  O_Lippincott

  JMPer Cable |

  Feb 3, 2025 2:01 PM

  877 views | 2 replies
  

• What are “optimal designs” and “optimality criteria”?

  JMP’s Custom Design platform allows experimenters to create custom-built designs for their specific experiment needs by constructing optimal designs. The custom designer generates optimal designs by seeking to maximize one of several optimality criteria using the coordinate-exchange algorithm. The coordinate-exchange algorithm constructs a starting design by selecting random values within the desi...

  O_Lippincott

  JMPer Cable |

  Jan 23, 2025 11:30 AM

  919 views | 0 replies