- We will hold developer tutorials the day before Discovery.
- EBC # and # have been reserved for these.
- The tutorials will be 1 1/2 hours each, running two at a time, four sessions over the day for a total of 8 tutorials.
- These tutorials are NOT hands-on. Lecture only.
The following developers have agreed to present on these general topics:
Text Explorer - Chris Gotwalt (Heath Rushing/Jim W. from Adsurgo may co-present here)
Query Builder (JMP and ODBC) - Eric Hill
Building Dashboards and Applications - Dan Schikore
DOE - Brad Jones
Process Improvement - Laura Lancaster and Annie Zangi
Generalized Regression (Variable Selection) - Clay Barker
JMP Clinical - Richard Zink
Graph Builder - Xan Gregg
Here's a draft schedule:
| EBC 8 | EBC 9 - Presentations in this room will be recorded |
|---|
| 8:30 - 10:00 | Fitting Definitive Screening Designs (DSDs), Taking Advantage of Their Structure Developer: Bradley Jones, JMP Principal Research Fellow, SAS | Wrangling All Your Data With Query Builder in JMP® 13 Developer: Eric Hill, JMP Principal Systems Developer, SAS |
| 10:00 - 10:30 | BREAK | BREAK |
| 10:30 - 12:00 | Integrated Process Improvement Using the Second-Generation Quality Tools in JMP® Developer: Laura Lancaster, JMP Principal Research Statistician Developer, SAS | Creating Effective Visualizations Using Graph Builder Developer: Xan Gregg, JMP Director of Research and Development, SAS |
| 12:00 - 1:00 | LUNCH | LUNCH |
| 1:00 - 2:30 | Variable Selection Made Easy Using the Generalized Regression Platform in JMP® Pro Developer: Clay Barker, JMP Senior Research Statistician Developer, SAS | Building Dashboards and Applications Developer: Dan Schikore, JMP Principal Software Developer, SAS |
| 2:30 - 3:00 | BREAK | BREAK |
| 3:00 - 4:30 | Uncovering Fraud, Misconduct and Other Data Quality Issues in Clinical Trials Using JMP® Clinical Developer: Richard Zink, JMP Principal Research Statistician Developer, SAS | The U-to-the-V: A Hitchhiker’s Guide to JMP® 13 Text Explorer Developer: Chris Gotwalt, JMP Director of Statistical Research and Development, SAS |
