Where champions are born (part 2)
Plots and charts and maps and dashboards and predictive modeling attempts, oh my!
Plots and charts and maps and dashboards and predictive modeling attempts, oh my!
Where are the "golden" cities of the world?
We all know the world is getting more and more data focused, making an understanding of statistics useful for any role. JMP has developed a statistical thinking course designed to help anyone, in any field, build an understanding of statistical approaches. We're Landra Cunningham and Sara Doudt, and this is our experience with the course.
JMP Live may have just been released this month, but the JMP division of SAS has been using JMP Live ourselves for some time. JMP Live lets us collaborate across the division, aggregates data from many sources and provides a single version of the truth for many critical reports that helps us run our business.
A behavioral scientist from the University of Michigan explains how we can quantify our life’s purpose (and why we should) in this issue of JMP Foreword.
If you’re looking for a brief intro to SEM that helps you understand why this tool is highly valued amongst those who use it, then this blog post is for you. And if you’re an SEM expert, then this blog post might be a good resource to explain to your peers what it is you do (and why you love it so much!).
談談汽車可靠度驗證的一個項目- 板階可靠度(Board Level Reliability, BLR)的測試,也就是車用元件上板後的焊點可靠度測試。
Want an Easy Button for supersaturated designs? It's GO SSD, the latest innovation in design of experiments in JMP.
Bradley Staats, author of Never Stop Learning: Stay Relevant, Reinvent Yourself, and Thrive, argued that in order to succeed, we must strive to become a dynamic, lifelong learner. Here are some tips for becoming a dynamic learner and protect against becoming irrelevant.
We created JMP 30 years ago because we saw a clear need.
What do innovations look like in the real world? Steven Johnson identifies some common features.
JMP Live is officially announced at Discovery Summit Tucson 2019.
JMP 15 is officially unveiled at the opening keynotes of Discovery Summit Tucson 2019.
Self-organizing maps (SOMs) are an unsupervised form of Machine Learning that can be used to cluster data that has many features. The SOM not only clusters your data but also “maps” it on to a lower dimension (usually two dimensions) so that you can more easily visualize the clusters.
In clinical trials, adverse event narratives are submitted as a section of the clinical study report to regulatory authorities. These narratives provide a historical summary of the patient before, during and after the clinical trial. Small and large pharmaceutical companies, CROs and medical writing services organizations alike spend many months preparing safety narratives for fatalities, serious ...
Sir David Spiegelhalter takes a broader view of statistics as an art.
DOE在生物製藥流程開發應用非常廣泛,但在應用時有一些注意事項或意想不到的要點常常容易被忽略。本文來探討這些注意事項。
Discovery Summit Tucson 2019 is just a few weeks away; here are my top 10 tips to help you get the most out of the conference.
生物製藥生產流程包括發酵或細胞反應器都會涉及到一些可以控制的參數,比如 pH、溫度,同時還有一系列的輸出檢測,比如生物負載和雜質。另外,一些其他不可控制的因素也可以影響產品品質和生產流程的重複性。這三個要素在藥物的整個生產流程中產生了大量的資料。那麼,我們用什麼戰略和思考方式來處理這些資料呢?今天來介紹三個主要的工具:DOE(實驗設計),MVDA(多變量資料分析,也叫多變數資料分析),PAT(流程分析技術)與MVDA的結合。