Cover image for Statistical Methods at the Forefront of Biomedical Advances
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. .
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