Statistical Methods at the Forefront of Biomedical Advances
This book presents novel statistics methods and reproducible software that helps to solve challenging problems in biomedicine. Specifically, it consists of a collection of 11 chapters contributed by some of the leading experts in the mathematical and statistical field which address new challenges in...
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| Médium: | Elektronický zdroj E-kniha |
| Jazyk: | angličtina |
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Springer International Publishing : Imprint: Springer,
2023.
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| Vydání: | 1st ed. 2023. |
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| On-line přístup: | https://doi.org/10.1007/978-3-031-32729-2 |
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Obsah:
- 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. .