SAS Institute Japan List of News Articles

This is a webinar that explains the basic concepts of nonlinear regression and practical analytical methods using JMP. We will welcome Mr. Fukushima, who is in charge of biostatistics at Takumi Information Technology and has extensive experience in the pharmaceutical industry and knowledge of statistical analysis, as our instructor. Target Audience: - Those who want to learn about nonlinear regression and understand it from the basics. - Those involved in data analysis in fields such as pharmaceuticals and manufacturing, who are interested in utilizing nonlinear models. - Those interested in data analysis using JMP and want to apply it in practice. Program: - Part 1: Introduction to Data Visualization and Nonlinear Regression An overview of the basics of nonlinear regression using non-clinical trials in the pharmaceutical industry as a subject. - Part 2: Features of Nonlinear Regression in JMP and Examples of Its Use in Quality Control An explanation focusing on the functions and features of nonlinear regression in JMP. ▼ Details & Registration https://www.jmp.com/ja/events/live-webinars/non-series/2026/06-25-nlr

This seminar is aimed at engineers primarily in the manufacturing industry, focusing on data utilization, and will explain practical approaches to factor exploration and predictive model building. 1. What to do before the model: Key points for data preparation and trial & error using JMP We will introduce the necessary preprocessing and feature creation required before analysis. - Understanding the contents of the data (visualization and summary statistics) - Dealing with missing values and outliers - Creating variables to enhance model accuracy (feature engineering) - Tips for efficiently progressing the creation of analysis data 2. How to proceed with factor exploration and predictive model building without making it a black box Based on the data prepared in the first half, we will explain the process of factor exploration and predictive model building. - Visualization of factors using correlation analysis, regression models, and decision trees - Model evaluation using training and validation data - Comparison and selection of multiple machine learning models (e.g., neural networks, random forests, etc.) - Intuitive understanding of important factors and prediction results ▼ Details & Registration https://www.jmp.com/ja/events/seminars/non-series/2026/06-19-factor

We will hold an in-person seminar aimed primarily at pharmaceutical professionals, focusing on accelerating the practice of Quality by Design (QbD) through Design of Experiments (DOE) and multivariate analysis using the statistical analysis software JMP. Professor Yoshinori Ohnuki from Hoshi University of Pharmacy will be our guest speaker, providing a scientific and rational approach to DOE and multivariate analysis in formulation design, incorporating research case studies. In the latter part of the seminar, we will introduce examples of DOE using JMP, including demonstrations of the flow of analytical method development and the search for optimal conditions. What you will learn in this seminar: - How to advance formulation optimization using custom plans and formulation plans - Efficient identification of critical factors through definitive screening designs - Applications of DOE targeting functional data such as time series and spectra - Experimental planning and data analysis methods using JMP ▼ Details & Registration https://www.jmp.com/ja/events/seminars/non-series/2026/06-12-qbd

This seminar is aimed at beginners in statistical analysis and will introduce concepts related to Measurement System Analysis (MSA) and statistical testing without delving into the details of formulas and theories. It will provide useful thinking approaches for on-site decision-making and examples of analysis using JMP. While viewing the JMP interface, we will cover the following points: - Why it is necessary to be aware of MSA - Key points to consider when reviewing test results The purpose of this seminar is not to provide JMP operation training or explanations of advanced statistical theories, but to equip participants with the "thinking" needed to make correct judgments based on data in manufacturing settings. ▼ Details & Registration https://info.jmp.com/register?formId=f5c18e25-632d-43f0-b273-f7a288adbe21&campaignId=701WP0000128co1YAA Even those without a license can use a 30-day trial version to consider whether the content of the seminar can be applied to their own work. Free Trial: https://www.jmp.com/ja/download-jmp-free-trial