Statistical Modeling in Biomedical Research
Contemporary Topics and Voices in the Field
Buch in deiner Nähe kaufen
Beschreibung
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.
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.
Includes a foundational overview of modeling in biomedical research to guide the reader in learning efficiently Covers machine learning, GWAS data analysis, sequence analysis, and survival analysis in the big data era Includes innovative statistical methods and applications in biomedical research
Autor*in
Yichuan Zhao
Themen in »Statistical Modeling in Biomedical Research«
high dimensional statistical methods survival analysis feature selection gene expression analysis next generation sequence complex data analysis data mining classification support vector machine