Discovery Paper and e-Poster Winners | New Statistical Thinking Course

Discovery Summit Top Voted Papers and e-Posters

The authors of two papers and two e-posters were honored at the conclusion of Discovery Summit 2018 on Oct. 26. They earned the highest overall ratings for their presentations from conference attendees. Congratulations to this year’s winners!

Best Invited Paper
Charles Chen, Industry Consultant ; Mason Chen, Stanford University OHS Program
Applying Multivariate Statistical Techniques in the Study of Chocolate and Its Potential Effects on Cardiovascular and Neurovascular Disease 

Best Contributed Paper  
Clay Barker, SAS; Ruth Hummel; SAS
Just Survive Somehow: An Exploration of the Storylines, Characters and Audience Reactions in Our Favorite Post-Apocalyptic World

Best Poster 
Dawn Garcia, US Army MEDCOM Analysis and Evaluation Division; Melissa Gliner, US Army Office of the Surgeon General’s Decision Support Center; Kenneth Kovats, US Army MEDCOM Analysis and Evaluation Division ; Richard Thorp, US Army MEDCOM
Predictors of Childbirth Satisfaction in the United States Military 

Best Student Poster 
Grant Reeves, Oklahoma State University ; Moumita Sen, Oklahoma State University 
Using JMP To Analyze Factors That Predict Depression 

View these and other Discovery Summit paper and e-poster materials featuring fascinating applications of JMP.

Presentation materials

New Statistical Thinking Course Available

A new online course is available for anyone looking to build practical skills in using data to solve problems. This free course — Statistical Thinking for Industrial Problem Solving — uses simulations, visualizations and examples to guide participants in understanding key ideas needed to make use of data with confidence. Course modules can be accessed from any device and from any location, giving participants the freedom to learn at their convenience. Read more about the Statistical Thinking for Industrial Problem Solving course here at the JMP Blog.

Learn more

HYT Finding Patterns of Missing Data in JMP

Watch the video

Have you tried...

...examining missing data in a table to determine if there is a pattern? To identify a pattern of missing data in your table: 1) Select "Tables" > "Missing Data Pattern," 2) Select the columns you would like to examine, 3) Click "Add Columns," 4) Select "Count Missing Value Codes" and "Add Value Colors Property," and 5) Click "OK." The Missing Data Pattern Table displays. Watch this video for more on viewing patterns of missing data.

See JMP Tips and Tricks for more short videos on using JMP.

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