Blogs

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• See the latest in the JMP Marketplace

  JMP Marketplace is an online platform to help you extend JMP as your needs evolve. Like other app stores, JMP Marketplace offers a curated selection of fully tested applications, add-ins, data connectors, and other extensions that enhance and expand JMP’s powerful capabilities.   Watch a demo of the Marketplace here.

  kristen-slappey

  JMPer Cable |

  Sep 12, 2025 9:36 AM

  14 views | 0 replies
  

• Choosing estimators in the Causal Treatment platform

  When treatment is binary, the Causal Treatment personality in JMP enables you to choose between four estimation techniques: inverse probability weighting with ratio adjustment (IPWR), regression adjustment (REGADJ), augmented inverse probability weighting (AIPW), and propensity score matching. You may be comfortable with one of these estimation methods, or you may have no idea where to begin. Alon...

  MeichenDong

  JMPer Cable |

  Sep 12, 2025 9:31 AM

  12 views | 0 replies
  

• From correlation to causation: The Causal Treatment platform

  Randomized controlled trials (RCTs) and other carefully designed statistical experiments are the gold standard for answering questions about cause and effect. Randomly assigning experimental units (for example, participants in a clinical trial) to treatment and control groups balances the two groups so as to minimize the chance of substantive differences between them other than those caused by any...

  MeichenDong

  JMPer Cable |

  Sep 12, 2025 9:30 AM

  16 views | 0 replies
  

• JMP 19: What's new in data connectors

  Data access is fundamental to JMP. For the last several releases, we've been building infrastructure so that you can access data efficiently, regardless of where it lives. Once you to get the data you need into JMP, you can begin answering the questions you have. Every version of JMP adds new efficiency gains, performance improvements, and workflow additions. JMP 19 continues that trend.
  
  Prefer vi...

  willmorgan

  JMPer Cable |

  Sep 12, 2025 9:20 AM

  18 views | 0 replies
  

• New in JMP Clinical 19

  JMP Clinical allows those who are part of the trial review process to quickly spot trends and outliers, uncover data issues, evaluate safety and efficacy signals, validate data integrity, and run advanced statistical analyses for medical monitoring. JMP Clinical 19 extends the tools, reports, and validation features available for exploring clinical trial data.   Watch this video for a demo of the ...

  geoffrey_mann

  JMPer Cable |

  Sep 12, 2025 9:11 AM

  11 views | 0 replies
  

• New in Graph Builder for JMP 19

  JMP 19 brings many improvements for Graph Builder. Here are a few of the most significant additions. Constrained smoothers The smoother element has a new method called P-Spline. It’s a cubic spline, just like the existing Spline method, but it’s parameterized in a way that better supports constraints. Monotonic trend curves are the most requested smoother feature, and now it’s possible – and then ...

  XanGregg

  JMPer Cable |

  Sep 12, 2025 9:09 AM

  44 views | 1 replies
  

• What’s new in JMP DOE

  JMP’s latest release brings a fresh wave of updates to the Design of Experiments (DOE) platform, with new tools and smarter workflows that make it easier to design, simulate, and explore experiments. Whether you're screening factors, simulating responses, planning sample sizes, or trying to pinpoint the root cause of a failure, there’s something new to try out. Smarter fault localization with Baye...

  Ryan_Lekivetz

  JMPer Cable |

  Sep 12, 2025 9:08 AM

  15 views | 0 replies
  

• Organizing and filtering data in the JMP 19 data table

  Data tables come in many sizes. Occasionally, I work with a table that is small enough to fit on screen: no scrolling necessary and everything I need, I can see. Most of the time, however, my data tables are tall, wide, complex, and multifaceted. For tables like these, the new data table organization and filtering tools in JMP shine. Let’s explore some real data to see why. I’ve been a longtime fa...

  julian

  JMPer Cable |

  Sep 12, 2025 9:06 AM

  16 views | 0 replies
  

• Going further with Python in JMP 19

  JMP’s latest release builds on the Python integration support that was introduced in JMP 18 by focusing on a fundamental part of the workflow: data access. By expanding data table operations and Python-JSL interoperability, accessing data becomes simple and convenient.   Prefer video? Watch it here.   Data Table operations The jmp.from_dataframe() function provides an efficient way to convert exte...

  Evan_Carr

  JMPer Cable |

  Sep 12, 2025 9:01 AM

  18 views | 0 replies
  

• Control chart warning triage in JMP Live

  Overview If you have control chart warnings, you may want to: Get notifications about warnings that nobody has investigated yet.Assign warnings to another user, or to a user group, for investigation.Stay on top of the warnings that are assigned to you for investigation.Stay focused on the processes that still need attention.Know what happened, who dealt with it, and when by reviewing and downloadi...

  Aurora_TiffanyD

  JMPer Cable |

  Sep 12, 2025 8:59 AM

  45 views | 0 replies
  

• Environmental monitoring with Process Screening

  Every pharmaceutical manufacturer needs to monitor its manufacturing facilities for possible contaminants from the environment. Mold from airborne spores and bacteria on surfaces are two of the threats that can ruin a batch. Other kinds of factories, like in the semiconductor industry, are threatened by airborne particulates. These facilities have specialized collection devices for environmental m...

  John_Sall

  JMPer Cable |

  Sep 12, 2025 8:37 AM

  22 views | 0 replies
  

• Taking quality and process control to the next level with JMP Live

  JMP has long been a leader in providing the statistical tools needed by engineers and technicians to measure and analyze variations in the quality of products and the processes that produce them. These tools include: Control charts provide feedback on key variables and show when a process is in, or out of, statistical control. The Control Chart Builder platform provides an interactive, point-and-c...

  Eric_Hill

  JMPer Cable |

  Sep 12, 2025 8:25 AM

  13 views | 0 replies
  

• Introducing the Bayesian Optimization platform in JMP Pro

  Bayesian Optimization, aka BayesOpt, is a new platform coming to JMP Pro 19. With it, you can use your existing data to fit a model and then use that model to intelligently decide where to sample next. These new observations are used to update the model and find even better samples. This process can start with a minimal number of runs, which means wasting fewer resources on suboptimal samples and ...

  Kasia_Dob

  JMPer Cable |

  Sep 12, 2025 8:20 AM

  34 views | 0 replies
  

• 変量効果モデルによる「室内再現精度」と「併行精度」の算出　～医薬品開発における精度の評価～

  本記事では、医薬品開発における精度評価で用いられる「室内再現精度（Intermediate precision）」と「併行精度（Repeatability）」をJMPを用いて算出する方法を例題に沿って説明します。   この記事を書くきっかけとなったのは、最近公開した小野薬品工業株式会社様のユーザー事例 です。この事例の中では、室内再現精度や併行精度の評価方法として、制限付き最尤法（REML）を用いて分散成分を推定するといったコメントがあります。   この事例をご覧になったユーザーから「この方法を詳しく説明してほしい」という要望をいただいたため、本記事を執筆することにしました。   室内再現精度と併行精度とは ここでいう「精度」とは、同一試料（検体）を複数回測定した際の測定値間のばらつきを評価することを指します。   医薬品のガイドラインである「ICH-Q2  分析法バリデーション」では、次...

  Masukawa_Nao

  Naohiro Masukawa |

  Sep 10, 2025 5:30 PM

  111 views | 0 replies
  

• Vroom! Vroom! Vroom! Join the JMP Summer Challenge: Motorsport edition

  UPDATE: The results are in.  See some of the interesting results on JMP Public. Watch the video announcing and hearing from the winners. To celebrate JMP’s partnership with telemetry expert and MotoGP Performance Engineer Mirco Bartolozzi, we invite you to sign up for a veritable data visualization grand prix. Use JMP with real motorsport data to uncover the complexity of this real-world challenge...

  gail_massari

  JMP Blog |

  Sep 9, 2025 6:02 AM

  1840 views | 14 replies
  

• Can Vector Field Charts Help Explain Performance in the Last Super Bowl?

  In the world of sports, data of every conceivable variety is collected to measure and analyze performance.   But it is often the visuals from this data that provide the most compelling stories.  Let's take last year’s Super Bowl that proved to be a mostly one-sided affair, with the Philadelphia Eagles surprising many in their domination of the Kansas City Chiefs.  Can we find a compelling graph th...

  scwise

  Scott Wise's Blog |

  Sep 9, 2025 5:28 AM

  100 views | 2 replies
  

• A Guide to JMP's Stability Platform

    Expiration and retest intervals are commonly assigned to pharmaceuticals as well as a wide range of other products. These dates are often extrapolated from a limited set of stability data using statistical models that regress the stability trend to some point in the future. A confidence interval around the regression provides a probability of being above a specified threshold at the extrapolated...

  Byron_JMP

  Byron Wingerd's Blog |

  Sep 3, 2025 5:12 AM

  353 views | 1 replies
  

• How JMP’s groundbreaking visual interface is bolstered by natural language-empowered analytic workflows

  Daniel_Valente

  JMP Blog |

  Aug 29, 2025 6:00 AM

  851 views | 2 replies
  

• 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

  387 views | 1 replies
  

• Biopharma analytics with JMP: A data-driven approach in monoclonal antibody

  Monoclonal antibodies (mAbs) have transformed the therapeutic landscape, offering targeted treatments for cancer, autoimmune disorders, and rare genetic diseases. Unlike small molecules, mAbs are large, highly specific proteins that bind precisely to disease-associated targets, minimizing off-target effects and improving patient outcomes. In the biopharmaceutical industry, Chinese Hamster Ovary (C...

  lkimhui

  JMP Blog |

  Aug 26, 2025 1:46 PM

  572 views | 0 replies