Real-World Evidence in Medical Product Development

Author: Weili He
Publisher: Springer
Published: 05/12/2023
Pages: 417
Binding Type: Hardcover
Weight: 1.76lbs
Size: 9.21h x 6.14w x 1.00d
ISBN: 9783031263279

About the Author

Weili He

Dr. Weili He has over 25 years of experience working in the biopharmaceutical industry. She is currently a Distinguished Research Fellow and head of Medical Affairs and Health Technology Assessment statistics at AbbVie. She has a PhD in Biostatistics. Weili's areas of expertise span across clinical trials, real-world studies and evidence generations, statistical methodologies in clinical trials, observational research, innovative adaptive designs, and benefit-risk assessment. She is the lead or co-author of more than 60 peer-reviewed publications in statistics or medical journals and lead editor of two books on adaptive design and benefit-risk assessment, respectively. She is the co-founder and co-chair of the American Statistical Association (ASA) Biopharmaceutical Section (BIOP) Real-world Evidence Scientific Working Group from 2018 to 2022. Weili is the BIOP Chair-Elect, Chair, and Past Chair from 2020-2022. She is also an Associate Editor of Statistics in Biopharmaceutical Research since 2014, and an elected Fellow of ASA since 2018.

Yixin Fang

After he received his PhD in Statistics from Columbia University in 2006, Yixin Fang had been working in academia before he joined AbbVie in 2019. Currently, he is a Research Fellow and Director of Statistics in Medical Affairs and Health Technology Assessment Statistics (MA&HTA Statistics) at AbbVie. Within MA&HTA Statistics, he is Head of the therapeutics areas (TAs) of Eye Care and Specialty and Head of Causal Inference Center (CIC). In this role, he is involved with the design and analysis of Phase IV studies and real-world studies in medical affairs and leading HTA submissions in the TA of Eye Care. In addition, he is active in the statistical community with over 100 peer-reviewed manuscripts and his research interests are in real-world data analysis, machine learning, and causal inference.

Hongwei Wang

Dr. Hongwei Wang has close to 20 years' experience working in the biopharmaceutical industry. He is currently a Research Fellow and Director at Medical Affairs and Health Technology Assessment Statistics of AbbVie. Prior to that, Hongwei worked at Sanofi and Merck with increasing responsibilities. He has been leading evidence planning and evidence generation activities across various therapeutic areas in the fields of real-world studies, network meta-analysis and post-hoc analysis with a mission to support medical affair strategy and optimal reimbursement. Hongwei received his PhD in Statistics from Rutgers University, conducts active methodology research and their applications to different stages of drug development. He serves as coauthor of about 40 manuscripts in peer reviewed journals and over 100 presentations at scientific congresses.