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Statistical Modeling in Biomedical Research

Jezik AngleščinaAngleščina
Knjiga Mehka
Knjiga Statistical Modeling in Biomedical Research Yichuan Zhao
Koda Libristo: 35463753
Založba Springer Nature Switzerland AG, marec 2021
This edited collection discusses the emerging topics in statistical modeling for biomedical research... Celoten opis
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80.43 €
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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:

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Polni naslov Statistical Modeling in Biomedical Research
Avtor Yichuan Zhao
Jezik Angleščina
Vezava Knjiga - Mehka
Datum izida 2021
Število strani 491
EAN 9783030334185
ISBN 303033418X
Koda Libristo 35463753
Založba Springer Nature Switzerland AG
Teža 777
Mere 155 x 235 x 28

Kategorije

Economics, Finance, Business & Management > Industry & industrial studies > Media, entertainment, information & communication industries > Information technology industries
Medicine & Nursing > Medicine: general issues > Medical equipment & techniques > Medical research
Medicine & Nursing > Medicine: general issues > Public health & preventive medicine > Epidemiology & medical statistics
Computing & Information Technology > Computer science > Artificial intelligence > Expert systems / knowledge-based systems
Mathematics & Science > Mathematics > Probability & statistics
Mathematics & Science > Biology, life sciences > Life sciences: general issues
Computing & Information Technology > Databases > Data mining
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