Keynote Address

Ron Wassertein

Have we Started Moving to a World Beyond p<0.05?

Tutorial – M2

Vlad Dragalin

Complex Innovative Designs

Tutorial – M3

Laura Gunn

SMART Treatment Decisions: Predicting 10-Year Cardiovascular Event Risks & Assessing Treatment Thresholds in a UK Population

Tutorial – M4

Jose Pinheiro

Improving Dose Finding Studies in Drug Development: the MCPMod Approach

Tutorial – M5

Alex Sverdlov

Optimal Designs for Clinical Trials: Their Purpose, Utility, and Applications

Tutorial – M6

Mark van der Laan

Targeted Learning for Causal Inference Based on Real World Data

Tutorial – T1

Manyun Liu and Roshni Modi

Relationship between Overall Survival, Clinical and Genomic data from TCGA’S Study on Pancreatic Cancer Patients via Machine Learning

Tutorial – T2

Frank Rockhold

Randomized Pragmatic Clinical Trials Utilizing RWD: Myths & Realities

Tutorial – T3

Gary Cline

Implementing Statistical and Data Science Innovative Approaches in Drug Development

Tutorial – T4

Demissie Alemayehu

Challenges and Opportunities with Decentralized Trials: Statistical Perspectives

Tutorial – T5

Fanni Natanegara

Decentralized Clinical Trials –Statistical and Data Considerations

Tutorial – T6

Melanie Poulin-Costello

Statistical Considerations in Decentralized Trials

Tutorial – W1

Lei Nie

Statisticians Face Challenges and Opportunities in Drug Development

Tutorial – W2

Andrew Potter

Considerations for Analysis of Data Collected by Wearable Digital Health Technology in Clinical Trials

Tutorial – W3

Satrajit Roychoudhury & Kenneth Koury

A Seamless Design to Rapidly Evaluate Vaccine Candidates for COVID-19

Short Course – W4

Hongtao Zhang & Frank Shen

Bayesian Methods to Leverage External Control Information in Drug Development