Statistical Methods at the Forefront of Biomedical Advances

Author:   Yolanda Larriba
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2023
ISBN:  

9783031327285


Pages:   276
Publication Date:   10 August 2023
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Statistical Methods at the Forefront of Biomedical Advances


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Author:   Yolanda Larriba
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2023
Weight:   0.600kg
ISBN:  

9783031327285


ISBN 10:   3031327284
Pages:   276
Publication Date:   10 August 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of 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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Author Information

Yolanda Larriba is an Assistant Professor at the Department of Statistics and Operations Research of the University of Valladolid (Spain). Her research mainly concerns the development of statistical methodologies in the field of order restricted inference with applications to medical science.

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