Modern Statistical Methods for Health Research (Paperback, 1st ed. 2021)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Emerging Topics in Statistics and Biostatistics
Release date:	October 2022
First published:	2021
Editors:	Yichuan Zhao • (Din) Ding-Geng Chen
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	496
Edition:	1st ed. 2021
ISBN-13:	978-3-03-072439-9
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Medicine > General issues > Medical equipment & techniques > Medical research
LSN:	3-03-072439-5
Barcode:	9783030724399

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