Statistical Modeling in Biomedical Research - Contemporary Topics and Voices in the Field (Paperback, 1st ed. 2020)

This edited collection discusses the emerging topics in statistical modeling for biomedical research. Leading experts in the frontiers of biostatistics and biomedical research discuss the statistical procedures, useful methods, and their novel applications in biostatistics research. Interdisciplinary in scope, the volume as a whole reflects the latest advances in statistical modeling in biomedical research, identifies impactful new directions, and seeks to drive the field forward. It also fosters the interaction of scholars in the arena, offering great opportunities to stimulate further collaborations. This book will appeal to industry data scientists and statisticians, researchers, and graduate students in biostatistics and biomedical science. It covers topics in: Next generation sequence data analysis Deep learning, precision medicine, and their applications Large scale data analysis and its applications Biomedical research and modeling Survival analysis with complex data structure and its applications.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Emerging Topics in Statistics and Biostatistics
Release date:	March 2021
First published:	2020
Editors:	Yichuan Zhao • Ding-Geng (Din) Chen
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	491
Edition:	1st ed. 2020
ISBN-13:	978-3-03-033418-5
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems
LSN:	3-03-033418-X
Barcode:	9783030334185

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