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

Başlık
Statistical Methods at the Forefront of Biomedical Advances

Yazar
Larriba, Yolanda. editor.

ISBN
9783031327292

Basım Bilgisi
1st ed. 2023.

Fiziksel Tanımlama
XI, 276 p. 71 illus., 57 illus. in color. online resource.

İçerik
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. .

Konu Terimleri
Biometry.
 
Biomedical engineering.
 
Bioinformatics.
 
Biological models.
 
Biostatistics.
 
Biomedical Engineering and Bioengineering.
 
Computational and Systems Biology.

Yazar Ek Girişi
Larriba, Yolanda.

Tüzel Kişi Ek Girişi
SpringerLink (Online service)

Elektronik Erişim
https://doi.org/10.1007/978-3-031-32729-2


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