Measurement error and bias in real-world oncology endpoints when constructing external control arms

• Main Authors: Benjamin Ackerman (Author), Ryan W. Gan (Author), Craig S. Meyer (Author), Jocelyn R. Wang (Author), Youyi Zhang (Author), Jennifer Hayden (Author), Grace Mahoney (Author), Jennifer L. Lund (Author), Janick Weberpals (Author), Sebastian Schneeweiss (Author), James Roose (Author), Juned Siddique (Author), Omar Nadeem (Author), Smith Giri (Author), Til Stürmer (Author), Sikander Ailawadhi (Author), Ashita S. Batavia (Author), Khaled Sarsour (Author)
• Format: Book
• Published: Frontiers Media S.A., 2024-07-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Introduction: While randomized controlled trials remain the reference standard for evaluating treatment efficacy, there is an increased interest in the use of external control arms (ECA), namely in oncology, using real-world data (RWD). Challenges related to measurement of real-world oncology endpoi...