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• 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

  57 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

  1798 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

  73 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

  317 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

  809 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

  353 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

  538 views | 0 replies
  

• Help shape the future of JMP: Take this year’s Wish List Prioritization Survey!

  Last summer, we launched a pilot version of the JMP Wish List Prioritization Survey to explore a new way of gathering and prioritizing the incredible ideas submitted by our community. The response was fantastic – and we’re excited to bring it back this year! You can participate in this year's survey using this link. We encourage you to share it with your friends and colleagues as well!
  What we lea...

  Sarah-Sylvestre

  JMP Blog |

  Aug 25, 2025 6:00 AM

  453 views | 2 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

  836 views | 0 replies
  

• JMP Marketplace feature: JSL-Hamcrest add-in

  Testing your JSL scripts just got a whole lot easier. We’ve built an implementation of Hamcrest for JSL, designed to help you write tests that are both powerful and easy to understand, complete with informative failure messages. With this add-in, you spot issues faster and improve your JSL more efficiently. Justin Chilton (@Justin_Chilton) and I developed a JSL-Hamcrest add-in that brings the flex...

  EvanMcCorkle

  JMP Blog |

  Aug 18, 2025 11:21 AM

  825 views | 0 replies
  

• JMPによるロバストエンジニアリングの実施例　～予測プロファイルとシミュレータを用いて～

  ロバストエンジニアリング（Robust Engineering）とは、工程中に避けられないばらつきが存在しても、安定して規格内の製品を生産するための技術です。   ここでいう「安定」とは、気温や湿度といった製造環境の変動（誤差因子）に左右されず、品質を維持できる状態を指します。誤差因子は通常制御が困難ですが、製品の応答に影響を及ぼす要因の多くは制御可能な因子（制御因子）として扱われます。   したがって、誤差因子が変動しても製品が仕様限界内に収まるようにするためには、適切な制御因子の条件（水準）を探索・設定する必要があります。   このとき、JMPでは「予測プロファイル」や「シミュレータ」を用いて、最適な制御因子の条件を見つけることができます。 本記事では、例題を通してその手順を紹介します。   例題：穴あけ加工で穴径を10mm に安定させるには ある材料加工会社では、穴あけ加工における...

  Masukawa_Nao

  Naohiro Masukawa |

  Aug 17, 2025 5:00 PM

  920 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

  28139 views | 18 replies
  

• Using the Microsoft Excel wizard

  JMP is a wizard at importing data from Microsoft Excel!

  charlie_whitman

  JMP Blog |

  Aug 4, 2025 10:57 AM

  884 views | 0 replies
  

• Principal components or factor analysis?

  This is my favorite example for explaining a key difference between PCA and EFA.

  LauraCS

  JMP Blog |

  Jul 31, 2025 6:00 AM

  86516 views | 12 replies
  

• Dennis Lendrem: ‘We need a law prohibiting one-variable-at-a-time experimentation.’

  “One-factor-at-a-time is scientific junk food,” says scientist, statistician, and author Dennis Lendrem.  

  anne_milley

  JMP Blog |

  Jul 31, 2025 5:07 AM

  1111 views | 2 replies
  

• Multiple-Group Analysis in Structural Equation Modeling

  Anytime there is interest in exploring group differences, multiple-group analysis (MGA) can be a helpful tool. Differences in means, regressions, loadings, variances, and covariances of variables can be investigated using MGA, as all these parameters can be modeled in the structural equation modeling framework.

  LauraCS

  JMP Blog |

  Jul 30, 2025 6:00 AM

  21667 views | 0 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

  1100 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

  2776 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

  6713 views | 6 replies
  

• JMPで「ツリーマップ」を作るべき5つの理由

  下図は、カテゴリ数が多いデータについて、JMPとMicrosoft Excel（以下、Excelと表記）でツリーマップを作成した例です。JMPでは「グラフビルダー」プラットフォームを使用しています。   一見すると、どちらも同じようなグラフを描けるため、「どちらのソフトで描いても違いがないのでは？」と思われるかもしれません。   しかし、JMPでは、JMPならではのツリーマップの特長があります。   ツリーマップは、多数のカテゴリを視覚的に比較するのに適したグラフで、各カテゴリを面積の大小で直感的に表現できます。情報量が多いときでも全体の構成や傾向を把握しやすいのが特長です。   本記事では、JMPの「グラフビルダー」を使ったツリーマップ作成の基本操作と、JMPのツリーマップの特長を5つご紹介します。   JMPでのツリーマップを作成する基本操作 主にJMPのサンプルデータ「Nic Ad...

  Masukawa_Nao

  Naohiro Masukawa |

  Jul 21, 2025 5:00 PM

  983 views | 0 replies