Modern statistical methods for health research / Yichuan Zhao, (Din) Ding-Geng Chen, editors.

Other author Zhao, Yichuan.
Other author Chen, Ding-Geng.
Format Electronic
Publication InfoCham, Switzerland : Springer, [2021]
Descriptionxxv, 496 pages : illustrations ; 25 cm.
Supplemental ContentFull text available from Springer Nature - Springer Mathematics and Statistics (R0) eBooks 2021 English International
Supplemental ContentFull text available from Springer Books
Subjects

SeriesEmerging topics in statistics and biostatistics, 2524-7735
Emerging topics in statistics and biostatistics 2524-7735 UNAUTHORIZED
Abstract "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."--Amazon.com.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
ISBN9783030724368 hardbound
ISBN3030724360 hardbound
ISBN(ebook)