Modern Statistical Methods for Health Research

Modern Statistical Methods for Health Research 2021 Original pdf

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AUTHORS: Zhao, Yichuan, Chen, Ding-Geng (Eds.)
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Modern Statistical Methods for Health Research 2021 Original pdf

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.

AUTHORS: Zhao, Yichuan, Chen, Ding-Geng (Eds.)

PAGES: 496

YEAR: 2021

PUBLICATION: Springer International Publishing

LANGUAGE: English

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