Statistics in Precision Health

Theory, Methods and Applications de

,

Éditeur :

Springer


Paru le : 2024-07-09

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241,59

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Description
This book discusses statistical methods and their innovative applications in precision health. It serves as a valuable resource to foster the development of this growing field within the context of the big data era.  The chapters cover a wide range of topics, including foundational principles, statistical theories, new procedures, advanced methods, and practical applications in precision medicine. Particular attention is devoted to the interplay between precision health, big data, and mobile health research, while also exploring precision medicine's role in clinical trials, electronic health record data analysis, survival analysis, and genomic studies. Targeted at data scientists, statisticians, graduate students, and researchers in academia, industry, and government, this book offers insights into the latest advances in personalized medicine using advanced statistical techniques.
Pages
544 pages
Collection
n.c
Parution
2024-07-09
Marque
Springer
EAN papier
9783031506895
EAN PDF
9783031506901

Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
54
Taille du fichier
16241 Ko
Prix
241,59 €
EAN EPUB
9783031506901

Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
54
Taille du fichier
36741 Ko
Prix
241,59 €

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