[table “2” not found /]
Tutorials:
09:30 AM‑10:30 AM:A Practical Review of Real World Data for Effectiveness Decisions – Case Studies of Using Historical Data in Developing Novel Therapies by DIA NEED
Chenkun Wang and Ziliang Li
11:00 AM-12:00 PM:Artificial Intelligence and its Impact on Clinical trials
Stephan Ogenstad
1:00 PM-2:00 PM:Power Considerations for Clinical Trials in Presence of Multiplicity
Kaushik Patra
2:00 PM-4:00 PM:Data Visualization for Clinical Results
Zachary Skrivanek
04:00 PM-05:00 PM:Assessing Treatment Effect Using Propensity Score Matching within the U.K. Population of Crohn's Disease Patients
Laura Gunn
Tuesday
08:30 AM-09:30 AM: Adaptive Design with Recurrent Event Outcome
Pranab Ghosh
09:30 AM-10:30 AM:Taking Adherence, PROs and RWD into Account in Clinical Trials
Alan Menius
10:45 AM-11:45 AM:Aggregate Safety Analysis for Causality Assessments of SAEs
Lothar Tremmel
01:00 PM-02:00 PM:Overview of Some Key Methods for Observational Settings
Shankar Srinivasan
02:00 PM-03:00 PM:Innovative Designs for Drug Development in Rare Diseases
Qing Liu
03:30 PM-04:30 PM:Implementing a Multi-attribute Model for Evaluating Alternative or Additional Indications in Drug Development
Jack Knorr
04:30 PM-05:30 PM:BASS Poster Session
Wednesday
08:30 AM-09:30 AM:Adjusting for Covariates in Randomized Clinical Trials for Drugs and Biologics with Continuous Outcomes Guidance for Industry
Daniel Rubin
09:30 AM‑10:30 AM:Adaptive Design Clinical Trials for Drugs and Biologics
Greg Levin
10:45 AM‑11:45 AM:Biomarker Data Analysis
Kao-Tai Tsai
Short Courses:
Wednesday/Thursday
SC‑1:Machine Learning on Big Data
Kao-Tai Tsai
23 October 2019 @ 1:00 PM- 24 October 2019 @ 12:00 PM
SC‑2:Adaptive Clinical Trial Designs: Early and Late Phase Developments
Pantelis Vlachos
23 October 2019 @ 1:00 PM- 24 October 2019 @ 12:00 PM