Jul 31, 2017 7:06 AM
| Last Modified: Jul 31, 2017 12:35 PM
JMP is at JSM 2017. Stop by the booth and check out the presentations by JMP statisticians.
Statisticians from JMP are at JSM 2017 in Baltimore. In addition to answering questions at the JMP booth, they are giving lots of presentations.
Here's where you can hear about JMP over the next several days at JSM:
Monday, July 31
10:50 a.m. Machine Learning and Algorithms: Streaming Matrix Completion With Automated Rank Selection
Milo Page and Alyson Wilson, SAS/North Carolina State University; Christopher Gotwalt, SAS
Session ID: 172, Location: CC-345
2:00 p.m. Contributed Poster Presentations
Biopharmaceutical Section: Analysis of Adverse Event Relationships in Clinical Trials Using JMP
Anastasia Dmitrienko, Université de Montréal; Kelci Miclaus and Richard Zink, JMP Life Sciences, SAS
Session ID: 243-35, Location: CC-Halls A&B
Contributed Poster Presentations
Biopharmaceutical Section: Emax Modeling for Assessing Dose-Response Relationships Using JMP
Beibo Zhao, University of North Carolina at Chapel Hill; Richard Zink, JMP Life Sciences, SAS
Session ID: 243-43, Location: CC-Halls A&B
Tuesday, August 1
7:00 a.m. *Added Fee Biopharmaceutical Section Morning Roundtable Discussion Chat With the Publications Officer of the Biopharmaceutical Section Richard Zink, JMP Life Sciences, SASSession ID: 256, Location: CC-Ballroom II
Rethinking the Analysis of Modern Designed Experiments: Analyzing Definitive Screening Designs Taking Advantage of Their Structure Bradley Jones, SASSession ID: 267, Location: CC-340
11:35 a.m. Advances in Statistical Process Control and Capability: A Simulation Study of Non-Normal Process Capability Indices Laura Lancaster, SASSession ID: 343, Location: CC-339
The goal of this workshop is to describe data visualization techniques for understanding and communicating results from applications in clinical trials and genomics research using the JMP family of products (JMP, JMP Pro, JMP Clinical and JMP Genomics). Topics include distributional summaries; signal detection safety outcomes; findings, trends and abnormalities; data integrity; co-occurrence; clustering and correlations; genomic associations; subgroup analysis; and meta-analysis.
Thursday, August 3
9:05 a.m. Machine Learning Applications: Beats, Rhymes, Life and Text Analysis: Analyzing the Lyrics of A Tribe Called Quest Clay Barker, SASSession ID: 630, Location: CC-313