Geert Molenberghs is Professor of Biostatistics (Hasselt University, KULeuven. He works on surrogate endpoints, longitudinal and incomplete data, was Editor for Applied Statistics, Biometrics, Biostatistics, Wiley Probability & Statistics, and Wiley StatsRef and is Executive Editor of Biometrics. He was President of the International Biometric Society, is Fellow of the American Statistical Association, and received the Guy Medal in Bronze from the Royal Statistical Society. He has held visiting positions at the Harvard School of Public Health. Ilya Lipkovich is a Sr. Research Advisor at Eli Lilly and Company. He is a Fellow of the American Statistical Association and published on subgroup identification in clinical data, analysis with missing data, and causal inference. He is a frequent presenter at conferences, a co-developer of subgroup identification methods, and a co-author of the book ""Analyzing Longitudinal Clinical Trial Data. A Practical Guide."" Bohdana Ratitch is a Principal Research Scientist at Eli Lilly and Company. Bohdana has contributed to research and practical applications of methodologies for causal inference and missing data in clinical trials through active participation in a pharma industry working group, numerous publications, presentations, and co-authoring the book ""Clinical Trials with Missing Data: A Guide for Practitioners"". Craig Mallinckrodt holds the rank of Distinguished Biostatistician at Biogen in Cambridge MA. He has extensive experience in all phases of clinical research. His methodology research focuses on longitudinal and incomplete data. He is Fellow of the American Statistical Association, has led several industry working groups on missing and longitudinal data, and received the Royal Statistical Society’s award for outstanding contribution to the pharmaceutical industry.
""The purpose of this book, which is to promote an integrated understanding of key concepts throughout the drug development process through an example-based approach, is certainly achieved. It is the holistic approach to planning the analysis and the focus on practical implementation that distinguishes this text from others... Overall, I enjoyed reading this book, which is a holistic and complete work and will be useful for researchers in the medical statistics area."" - Taras Lukashiv, ISCB News, July 2020