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Statistical Modeling in Biomedical Research

Contemporary Topics and Voices in the Field

Yichuan Zhao (Hrsg.), Ding-Geng (Din) Chen (Hrsg.)

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ca. 90,94 €
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Springer International Publishing img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik

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.

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Schlagwörter

gene expression analysis, high dimensional statistical methods, survival analysis, complex data analysis, feature selection, next generation sequence, support vector machine, classification, data mining