Modern Statistical Methods for Health Research /

This book brings together the voices of leading experts in the frontiers of biostatistics, biomedicine, and the health sciences to discuss the statistical procedures, useful methods, and novel applications in biostatistics research. It also includes discussions of potential future directions of biom...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Zhao, Yichuan (Editor), Chen, (Din) Ding-Geng (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:1st ed. 2021.
Series:Emerging Topics in Statistics and Biostatistics ,
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:This book brings together the voices of leading experts in the frontiers of biostatistics, biomedicine, and the health sciences to discuss the statistical procedures, useful methods, and novel applications in biostatistics research. It also includes discussions of potential future directions of biomedicine and new statistical developments for health research, with the intent of stimulating research and fostering the interactions of scholars across health research related disciplines. Topics covered include: Health data analysis and applications to EHR data Clinical trials, FDR, and applications in health science Big network analytics and its applications in GWAS Survival analysis and functional data analysis Graphical modelling in genomic studies The book will be valuable to data scientists and statisticians who are working in biomedicine and health, other practitioners in the health sciences, and graduate students and researchers in biostatistics and health.
Physical Description:1 online resource (XXV, 496 pages 82 illustrations)
ISBN:9783030724375
ISSN:2524-7743
DOI:10.1007/978-3-030-72437-5