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#459: Bias and Methodological Challenges in External Control Arms Addressing Time-Related Bias, Endpoint Alignment, Unmeasured Confounding
Monday June 15, 2026 4:00pm - 5:00pm EDT
107AB
Component Type: Session
Level: Intermediate
CE: ACPE 1.00 Knowledge UAN: 0286-0000-26-554-L04-P; CME 1.00; RN 1.00

This session highlights methodological challenges in External Control Arms (ECAs) using Real-World Data (RWD). Speakers will address time-related biases, endpoint alignment challenges between RWD and trial standards, and methodological strategies to address unmeasured confounding.

Learning Objectives

Discuss exposure and time-related issues in ECA construction, including defining time-zero and avoiding immortal time bias; Describe endpoint alignment challenges between RWD and trial standards, and outline methods to address measurement error and bias. Evaluate approaches for handling missing data and unmeasured confounding, and explain new insights on defining index dates in EC studies.

Chair

Ju-Young Shin, PHD

Speaker

Choosing an Index Date for Untreated Patients in External Comparator Studies
Ju Hwan Kim, PHARMD, PHD

Quantifying and mitigating measurement bias in real-world endpoints when constructing external control arms
Benjamin Ackerman, PHD

Choosing an Index Date for Untreated Patients in External Comparator Studies
Gerd Rippin, PHD


Speakers
avatar for Benjamin Ackerman

Benjamin Ackerman

Principal Scientist, Biostatistics, Johnson & Johnson, United States
Ben Ackerman is a Principal Scientist at Johnson & Johnson Innovative Medicine, where he provides support across therapeutic areas to design and analyze randomized trials, namely those that combine trial data with real-world data. He has expertise in causal inference methods to address... Read More →
avatar for Benjamin Ackerman

Benjamin Ackerman

Director, Real-world Biostatistics, GSK, United States
Ben Ackerman is a Director of Real-world Biostatistics at GSK, where he designs and analyzes real-world evidence studies in oncology. He has expertise in causal inference methods to address various biases in both randomized trials and non-experimental studies. Previously, he led a... Read More →
JH

Ju Hwan Kim

Research Professor, Sungkyunkwan University, Korea, Republic of
Ju Hwan (Joe) Kim, PharmD, PhD, is a Research Professor at the School of Pharmacy, Sungkyunkwan University, South Korea. His work spans pharmacoepidemiology, clinical pharmacy, regulatory science, and real-world data/evidence. He leads international collaborative studies leveraging... Read More →
avatar for Gerd Rippin

Gerd Rippin

Senior Director, Biostatistics, Real-World Solutions, IQVIA, Germany
Dr. Gerd Rippin is a trained statistician, receiving his statistics degree in 1995 from the University of Dortmund, Germany (equivalent to BSc and MSc), and his Dr. of Sciences (equivalent to PhD) in 1999 from the University of Mainz, Germany. Dr. Rippin has worked as a medical statistician... Read More →
avatar for Ju-Young Shin

Ju-Young Shin

Professor, School of Pharmacy, Sungkyunkwan University, Korea, Republic of
Dr. Ju-Young Shin is current chair professor of department of biohealth regulatory science at school of pharmacy, SungKyunKwan University (SKKU). She also serves as an associate editor of SCIE journal including ‘Pharmacoepidemiolgoy and Drug Safety’, and ‘Epidemiology and Health... Read More →
Monday June 15, 2026 4:00pm - 5:00pm EDT
107AB The Pennsylvania Convention Center 1101 Arch Street Philadelphia, PA 19107 USA
  10: Stats-EvidenceGeneration-RWE, Session

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