Statistical Methods at the Forefront of Biomedical Advances
by
 
Larriba, Yolanda. editor.

Title
Statistical Methods at the Forefront of Biomedical Advances

Author
Larriba, Yolanda. editor.

ISBN
9783031327292

Edition
1st ed. 2023.

Physical Description
XI, 276 p. 71 illus., 57 illus. in color. online resource.

Contents
Forecasting of SARS-COV-2 dynamic: beyond the classical SIR model -- Derivation of OED methods for applications in cytogenetic biodosimetry -- Minimum Phi-divergence tests for ophthalmological data grouped in clusters -- Multimodality test for determining which genes distinguish oncological patients -- Exploring the relationship between different cancer sites using disease mapping models -- Advances in flow cytometry gating based on distances and divergences in probability spaces -- Application of quantile regression models for biomedical data -- Hippocampus shape analysis via skeletal models and kernel smoothing -- Methods for analysis of microbiome count data with applications -- The FMM model as a classifier of cardiovascular pathologies -- A novel statistical insight of the circadian markers that govern cardiac rhythms -- Sleep and circadian synchronization assessment from multivariate recordings. .

Subject Term
Biometry.
 
Biomedical engineering.
 
Bioinformatics.
 
Biological models.
 
Biostatistics.
 
Biomedical Engineering and Bioengineering.
 
Computational and Systems Biology.

Added Author
Larriba, Yolanda.

Added Corporate Author
SpringerLink (Online service)

Electronic Access
https://doi.org/10.1007/978-3-031-32729-2


LibraryMaterial TypeItem BarcodeShelf Number[[missing key: search.ChildField.HOLDING]]Status
Online LibraryE-Book527864-1001ONLINEElektronik Kütüphane