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Tuesday June 17, 2025 4:00pm - 5:00pm EDT
TBD
Component Type: Session
Level: Intermediate

Externally controlled clinical trials emerges as a viable alternative to traditional RCTs but come with risks such as confounding and bias. This session will focus on discussing these challenges and how to mitigate them via design and analysis.

Learning Objectives

Identify and describe various sources of bias in externally controlled clinical trials, and illustrate their impact on causal effect estimation; Explain statistical methods developed to estimate causal treatment effect from externally controlled trials; Discuss regulatory perspectives on the use of external controls for drug development and registration.

Chair

Xiang Zhang, PhD

Speaker

Industry Perspective
Ran Duan, PhD

Industry Perspective
Jingyu (Julia) Luan, PhD


Speakers
RD

Ran Duan

Director Biometrics, Vertex Pharmaceuticals, United States
avatar for Jingyu (Julia) Luan

Jingyu (Julia) Luan

Executive Regulatory Science Director, BioPharmaceuticals R&D, AstraZeneca, United States
Dr. Jingyu (Julia) Luan is an Executive Regulatory Science Director in AstraZeneca, overseeing the global regulatory strategy and supporting the research, development and commercialization of CVRM products. She is a core member of CVRM Regulatory Leadership Team. Prior to AZ, she... Read More →
XZ

Xiang Zhang

Head of Medical Affairs and HTA Statistics/Co-lead FORExcellence, CSL Behring, United States
Xiang Zhang is the Head of Medical Affairs and HTA Statistics and a co-lead of the Forum for Observational Research Excellence (FORExcellence) at CSL. He leads a team of statisticians, epidemiologists, and RWE scientists that promotes best practices in RWE generation at CSL. His team... Read More →
Tuesday June 17, 2025 4:00pm - 5:00pm EDT
TBD Walter E. Washington Convention Center 801 Allen Y. Lew Place, NW Washington, DC 20001-3614 USA
  11: Statistics-Data Science, Session |   02: ClinTrials-Ops, Session

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