Starting Health and Medical Data Analysis with Statistical Analysis Software JMP19/JMP Pro19

Transforming “time spent on data analysis” into “time that creates value”

JMP is a statistical analysis software used by researchers and engineers around the world. It is designed to efficiently connect data and insights obtained in the field to results that support decision‑making. One of its key features is the ability to perform a wide range of statistical analyses—such as advanced Design of Experiments (DOE), quality control, and multivariate analysis—using only mouse operations. Data managed in Excel and other tools can also be smoothly reshaped into analysis‑ready formats, enabling fast analysis without requiring complex programming. In JMP, graphs, statistical results, and data are displayed interactively and in sync, allowing users to deepen their understanding through exploration and iteration. Hypotheses and insights held by experienced engineers can be statistically validated, visualized, and organized in a form that is easy to share within teams. These visualizations support aligned discussions among stakeholders as well as evidence‑based reporting and explanation. Leveraging JMP not only reduces the burden of analysis and data preparation but also contributes to process improvement and faster development cycles. By connecting the expertise of seasoned engineers with statistical analysis, JMP aims to bring greater confidence to decisions made on the front lines.

• Production Management System
• Process Control System
• Business Intelligence and Data Analysis

Sophisticated methods for conducting advanced analysis.

JMP Pro is software that adds advanced analytical capabilities to JMP. The statistical analysis software JMP Pro, provided by SAS, is designed for scientists and engineers and includes familiar excellent features such as visual data access, data manipulation, interactive operation methods, a wealth of analytical functions, and scalability, along with numerous advanced techniques. Furthermore, JMP Pro offers a variety of advanced tools. It includes predictive modeling with validation features using various different methods, state-of-the-art modeling techniques, model comparison and averaging, advanced multivariate analysis, reliability block diagrams, coverage arrays, mixed models, uplift models, and statistical methods utilizing advanced calculators. With JMP Pro, you can perform sophisticated and diverse analyses, helping to remove barriers that hinder statistical discoveries and uncover clues hidden in the data. This enables you to more quickly find breakthroughs in problems and anticipate and control the future.

• Production Management System
• Process Control System
• Business Intelligence and Data Analysis

[Instructor] Paulstar Communications Inc. Representative Director Koji Kita [Key Lecture Content] Have you ever felt that, despite entrusting work to Generation Z and young employees, they "don't seem to get started," "don't lead to the expected results," or "it's ultimately faster to do it myself"? Behind these situations are various factors, including the recognition gap between supervisors and young employees regarding "entrusting and being entrusted," how to communicate the purpose of the work, the approach, and the scope of discretion, as well as how to follow up after delegating tasks. In this seminar, we will practically explain "how to delegate work" to elicit proactive behavior, taking into account the perspectives and behavioral characteristics of Generation Z and young employees. We will share specific management techniques to help supervisors break free from the burden of work, encourage the autonomy and growth of young employees, and steadily lead to results.

[Speaker] Yoichiro Okuyama, Senior Researcher, Research Department, Hamagin Research Institute, Inc. [Key Lecture Content] In China, the operation of autonomous taxis began in 2021, and now fully unmanned robo-taxis are running in cities like Beijing and Shenzhen. Experiencing a ride reveals the evolution of technology through natural acceleration, smooth steering, and seamless deceleration. Currently, there are several thousand vehicles in operation, but projections suggest that by 2030, this number could exceed one million, accounting for 70% of the global total. What are the underlying factors driving the social implementation of robo-taxis in China? By incorporating local test ride experiences, we will analyze the revenue situation of robo-taxi operating companies and the outlook for market expansion based on data, exploring their future potential. [Lecture Items] 1. Personal experiences of test riding robo-taxis in China 2. Trends in the market size of robo-taxis in China and globally 3. Background of the advancing social implementation of robo-taxis in China 4. Public acceptance and actual usage 5. Performance and challenges of major robo-taxi companies 6. Will robo-taxis become widespread in Japan as well? 7. Q&A / Business card exchange

Daitō Shikō Co., Ltd. will exhibit at the "102nd Tokyo International Gift Show Autumn 2026," which will be held at Tokyo Big Sight from September 2 (Wednesday). At the exhibition venue, we plan to showcase new products including the A7 binder, popular foil-stamped goods, stationery, clear files, and more. If you are looking for SP tools, promotional items, or novelties, please be sure to visit our booth.

Our company will participate in the 1st High-Performance Materials Exhibition (within High-Performance Materials Week) as a member of the MGC Group. We will be showcasing various functional polycarbonate resins that can serve as alternatives to metals and ceramics, so please be sure to visit our booth.

In the health and medical fields, which are directly connected to people's lives, it is essential to carefully interpret the results of data analysis and utilize them in decision-making. This seminar will first introduce basic analytical methods using JMP 19 and explain the contexts in which each method can be applied. Next, we will discuss the thought process for making causal interpretations, such as "Did a certain treatment improve the condition?" and how to estimate causal effects using JMP Pro 19. - Comparison of results before and after treatment using paired t-tests - Group comparisons using t-tests - Group comparisons considering pre-treatment values through analysis of covariance - Distinguishing between correlation and causation - Estimation of causal treatment effects This seminar will introduce these basic analytical methods with demonstrations. Those without statistical expertise and those unfamiliar with JMP are also very welcome. ▼ Details & Registration https://www.jmp.com/ja/events/live-webinars/non-series/2026/09-11-health-medical-data