Statistical Modeling in Biomedical Research / Emerging Topics in Statistics and Biostatistics (PDF)
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This edited collection discusses the emerging topics in statistical modeling for biomedical research. Leading experts in the frontiers of biostatistics and biomedical research discuss the statistical procedures, useful methods, and their novel applications in biostatistics research. Interdisciplinary in scope, the volume as a whole reflects the latest advances in statistical modeling in biomedical research, identifies impactful new directions, and seeks to drive the field forward. It also fosters the interaction of scholars in the arena, offering great opportunities to stimulate further collaborations. This book will appeal to industry data scientists and statisticians, researchers, and graduate students in biostatistics and biomedical science. It covers topics in:
- Next generation sequence data analysis
- Deep learning, precision medicine, and their applications
- Large scale data analysis and its applications
- Biomedical research and modeling
- Survival analysis with complex data structure and its applications.
Professor (Din) Ding-Geng Chen is a fellow of the American Statistical Association and currently the Wallace H. Kuralt Distinguished Professor at the University of North Carolina at Chapel Hill, and an extra-ordinary professor at the University of Pretoria. 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 consultant for biopharmaceutical and government agencies, with extensive expertise in clinical trial biostatistics and public health statistics. Professor Chen has written more than 200 refereed publications and has co-authored/co-edited 28 books on clinical trial methodology, meta-analysis, causal inference, and public health statistics.
- 2020, 1st ed. 2020, 491 Seiten, Englisch
- Herausgegeben: Yichuan Zhao, Ding-Geng (Din) Chen
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3030334163
- ISBN-13: 9783030334161
- Erscheinungsdatum: 19.03.2020
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