New Advances in Statistics and Data Science, Softcover reprint of the original 1st ed. 2017
ICSA Book Series in Statistics Series

This book is comprised of the presentations delivered at the 25^th ICSA Applied Statistics Symposium held at the Hyatt Regency Atlanta, on June 12-15, 2016. This symposium attracted more than 700 statisticians and data scientists working in academia, government, and industry from all over the world. The theme of this conference was the ?Challenge of Big Data and Applications of Statistics,? in recognition of the advent of big data era, and the symposium offered opportunities for learning, receiving inspirations from old research ideas and for developing new ones, and for promoting further research collaborations in the data sciences. The invited contributions addressed rich topics closely related to big data analysis in the data sciences, reflecting recent advances and major challenges in statistics, business statistics, and biostatistics. Subsequently, the six editors selected 19 high-quality presentations and invited the speakers to prepare full chapters for this book, which showcases new methods in statistics and data sciences, emerging theories, and case applications from statistics, data science and interdisciplinary fields. The topics covered in the book are timely and have great impact on data sciences, identifying important directions for future research, promoting advanced statistical methods in big data science, and facilitating future collaborations across disciplines and between theory and practice.

Ding-Geng Chen is a Fellow of the American Statistical Association and is currently the Wallace Kuralt distinguished professor at the University of North Carolina at Chapel Hill. He was a professor at the University of Rochester and the Karl E. Peace endowed eminent scholar chair in biostatistics at Georgia Southern University. He is also a senior statistics consultant for biopharmaceuticals and government agencies with extensive expertise in Monte-Carlo simulations, clinical trial biostatistics and public health statistics. Professor Chen has more than 100 referred professional publications, has co-authored and co-edited six books on clinical trial methodology, meta-analysis and public health applications, and has been invited nationally and internationally to give speeches on his research. Professor Chen was honored with the "Award of Recognition" in 2014 by the Deming Conference Committee for highly successful advanced biostatistics workshop tutorials with his books.

Zhezhen Jin is a Professor of Biostatistics at Columbia University. His research interests in statistics include survival analysis, resampling methods, longitudinal data analysis, and nonparametric and semiparametric models. Dr. Jin has collaborated on research in the areas of cardiology, neurology, hematology, oncology and epidemiology. He is a founding editor-in-chief of Contemporary Clinical Trials Communications, serves as an associate editor for Lifetime Data Analysis, Contemporary Clinical Trials, and Communications for Statistical Applications and Methods, and is on the editorial board for Kidney International, the Journal of the International Society for Nephrology. Dr. Jin has published over 150 peer-reviewed research papers in statistical and medical journals, and is also a Fellow of the American Statistical Association.

Gang Li is a Professor of Biostatistics and Biomathematics at the University of California

Presents timely discussions on methodological developments and real-world applications, with particular respect to big data analytics

Explores new frontiers of statistical modeling and advanced biostatistical methods

Data and computer programs to be publicly available to replicate the model of development