Analyzing Longitudinal Clinical Trial Data: A Practical Guide

by Craig Mallinckrodt (Author), Ilya Lipkovich (Author)

Missing data in longitudinal clinical trials has justifiably been the target of considerable research. However, missing data is just one of the many considerations in the analysis of longitudinal data, and focus on the data we don’t have should not distract from focus on the data we do have. The statistical theory relevant to analyses of longitudinal data is extensive. However, the greatest difficulty may not be in knowing the theory, but rather in putting the theory into useful practice. Therefore, this book focuses on the most relevant and current theory for the common issues faced in planning and implementing analyses for longitudinal trials.

About the Author
Craig Mallinckrodt and Ilya Lipkovich each have extensive experience in medical research and longitudinal analyses. Dr. Mallinckrodt is a Research Fellow at Eli Lilly and Company and a Fellow of the American Statistical Association. He has won numerous awards, including the 2014 award for statistical excellence in the Pharmaceutical Industry from the Royal Statistical Society and PSI (Statisticians in the Pharmaceutical Industry). Dr. Lipkovich is a Principal Scientific Advisor at Quintiles. He is a widely-published author and frequent presenter at conferences and has developed a number of successful short courses and tutorials.