Biostatistical Considerations When Using RWD and RWE in Clinical Studies for Regulatory Purposes: A Landscape Assessment

Real-world evidence (RWE), derived from data from “real-world” clinical practice and medical product utilization, is an increasingly important source of evidence that holds great potential to increase efficiency and improve clinical development and life cycle management of medical products. Regulatory agencies, public-private partnerships, and health technology assessment organizations have launched major initiatives and released guidance to address considerations in the use of RWE to inform regulatory decision making. However, many challenges remain on how RWE could be best used for various types of regulatory decisions from statistical perspectives. To address the relevant statistical challenges, a working group under the auspices of the ASA Biopharmaceutical Section was established. This article reviews the biostatistical challenges and methods for the use of RWE for medical product development. There are two companion articles as the output from the same working group that address focused topics. The article by Chen et al. provides the current landscape on the use of RWE to inform clinical study design and analysis, and the article by Ho et al. presents a review of causal inference framework for design and analysis of studies using RWE.

Duke Scholars

Author Benjamin Alan Goldstein Biostatistics & Bioinformatics, Division of Translational Bi ...

Author Frank Wesley Rockhold Biostatistics & Bioinformatics, Division of Biostatistics