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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Detalles Bibliográficos
Autor Corporativo: SpringerLink (-)
Otros Autores: Zhao, Yichuan, editor (editor), Chen, (Din) Ding-Geng, editor
Formato: Libro electrónico
Idioma:Inglés
Publicado: Cham : Springer International Publishing 2021.
Edición:1st ed. 2021.
Colección:Springer eBooks.
Emerging Topics in Statistics and Biostatistics ,
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b45845748*spi
Descripción
Sumario: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.
Descripción Física:XXV, 496 páginas : 82 ilustraciones
Formato:Forma de acceso: World Wide Web.
ISBN:9783030724375