Benefit-Risk Assessment Methods in Medical Product Development: Bridging Qualitative and Quantitative Assessments

ISBN-13: 9780367737085 / Angielski / Miękka / 2020 / 296 str.

Qi Jiang; Weili He

Opis

This book provides guidance on selecting specific benefit–risk (B–R) frameworks and quantitative methods. Leading experts from industry, regulatory agencies, and academia present practical examples, lessons learned, and best practices that illustrate how to conduct structured B–R assessment in clinical development and regulatory submission. The

Spis treści

The Need for Benefit–Risk Assessment and Future Directions. Overview of Benefit–Risk Assessment and Regulatory Environment. Considerations of Benefit–Risk Assessment Development in Products’ Life Cycle Management. Benefit–Risk Assessment Methods and Visual Tools. Benefit–Risk Assessment Case Studies and Lessons Learned. Glossary. Index.

O autorze

Dr. Qi Jiang is an executive director of Global Biostatistical Science at Amgen. In this role, she is the biostatistical therapeutic area head for oncology and hematology and the lead of the Center of Excellence for Safety and Benefit–Risk. In addition, Dr. Jiang provides oversight to Amgen’s biostatistical efforts in the Asia–Pacific region. Before joining Amgen, she worked at the Harvard School of Public Health, Merck, and Novartis. Dr. Jiang is the co-editor of the Chapman & Hall/CRC book Quantitative Evaluation of Safety in Drug Development: Design, Analysis and Reporting and the author of more than 60 peer-reviewed publications on method development, study design, and data analysis and reporting. She is a fellow of the American Statistical Association, a co-lead of the American Statistical Association Biopharmaceutical Section Safety Working Group, a co-lead of the Quantitative Sciences in the Pharmaceutical Industry (QSPI) Benefit–Risk Working Group, and an associate editor for Statistics in Biopharmaceutical Research.

Dr. Weili He is a director of clinical biostatistics at Merck & Co., Inc. Her research interests include survival and longitudinal data modeling, missing data imputation, cancer Phase I and II designs, repeated categorical data modeling, surrogate marker evaluations, adaptive design methodologies and implementations, and methods for benefit–risk assessment. Dr. He has published extensively in the areas of adaptive designs and benefit–risk evaluations and is the author of more than 50 peer-reviewed publications in statistical and medical journals. She is also a lead editor of the book Practical Considerations for Adaptive Trial Design and Implementation. She has been actively involved in many professional activities and services, including serving as co-chair of the Quantitative Sciences in the Pharmaceutical Industry (QSPI) Benefit–Risk Working Group, co-chair of the DIA Adaptive Design Scientific Working Group (ADSWG) KOL lecture series, associate editor for Statistics in Biopharmaceutical Research, and a referee for other statistical journals.