Section of Statistical Programmers and Analysts - Open Invitation - All are welcome — Other Cmte/Business
Section for Statistical Programmers and Analysts
Chair(s): Vipin Arora, Eli Lilly and Company
Event: SSPA Open Mixer -All are Invited (SSPA Membership is not required)
AGENDA : Opening Remarks, Treasurer Report, Key Updates, Future activities, Q/A, wrap up (Please share your questions in advance to Chair, Vipin Arora vipin.arora@gmail.com or Program Chair, Navneet Hakhu hakhunavneet@gmail.com or to our Treasurer, Gerald gerald.belton@gmail.com
Online Experimentation at Scale: Challenges and Solutions — Invited Panel
Section on Statistical Learning and Data Science, Business and Economic Statistics Section, Section for Statistical Programmers and Analysts, Quality and Productivity Section
Multivariate Endpoint, Disease Progress Model and Other New Features of the DIAN-TU Platform Trial Guoqiao Wang, Washington University in St Louis; Scott Berry, Berry Consultants; Chengjie Xiong, Washington University in St Louis; Jason Hassenstab, Washington University in St Louis; Melanie Quintana, Berry Consultants; Eric McDade, Washington University in St Louis; Paul Delmar, F. Hoffmann-La Roche Ltd; Matteo Vestrucci, University of Texas at Austin; Randall Bateman, Washington University in St Louis; Andrew Aschenbrenner, Washington University in St Louis
10:45 AM
TRCPAD: Accelerating Participant Recruitment in Alzheimer’s Disease Clinical Trials Using Machine Learning Techniques Oliver Langford, University of Southern California; Michael C Donohue, University of Southern California; Gustavo Jimenez-Maggiora, University of Southern California; Reisa Sperling, Harvard Medical School; Jeff Cummings, Cleveland Clinic Lou Ruvo Center for Brain Health; Paul S Aisen, University of Southern California; Rema C Raman, University of Southern California
Incorporation of Real-World Evidence in Clinical Trial Designs and Associated Statistical Methodologies — Topic Contributed Papers
Section for Statistical Programmers and Analysts, Biopharmaceutical Section, Section on Statistical Learning and Data Science, Section on Statistical Computing
