Online seminar on statistical analysis software JMP for those handling health and medical data in the pharmaceutical industry, food industry, and medical institutions.
In the health and medical field, which is 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 situations in which each method can be applied. Next, we will discuss the thought process for causal interpretations, such as "Did a certain treatment improve the condition?" and explain 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 using analysis of covariance - Distinguishing between correlation and causation - Estimation of causal treatment effects This seminar will present these basic analytical methods with demonstrations. Those without specialized knowledge of statistics 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
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**Date and Time** September 11, 2026 (Friday) 14:00 - 14:45 (Online seminar using Zoom) **Target Audience** - Individuals who handle health and medical data in the pharmaceutical industry, food industry, medical institutions, etc. - Those interested in interpreting and utilizing the analysis results of health and medical data. **Participation Fee** Free (Pre-registration is required) **Main Content** Basic health and medical data analysis using JMP 19 Introduction to causal effect estimation using JMP Pro 19
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Free (Pre-registration is required from the link below)
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User cases: https://www.jmp.com/en/customer-stories/customer-listing/all See why major companies around the world are utilizing JMP.
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The JMP story goes back to 1989 when John Sall decided to combine statistical analysis capabilities with graphical visualizations to animate and visualize data. For more than 35 years now, John Sall has led JMP R&D, making each version of JMP more visual, more interactive, and more practical to help users understand their data. What started as a passion project has grown by leaps and bounds. It’s now a family of statistical software products designed with scientists and engineers in mind and used worldwide in nearly every industry.
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