LEADER 03564nam 22006255 450 001 9910741181603321 005 20230809120759.0 010 $a9783031327292 010 $a3031327292 024 7 $a10.1007/978-3-031-32729-2 035 $a(MiAaPQ)EBC30683649 035 $a(Au-PeEL)EBL30683649 035 $a(DE-He213)978-3-031-32729-2 035 $a(PPN)272273139 035 $a(CKB)27962372000041 035 $a(OCoLC)1393306582 035 $a(EXLCZ)9927962372000041 100 $a20230809d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStatistical Methods at the Forefront of Biomedical Advances /$fedited by Yolanda Larriba 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (280 pages) 311 08$aPrint version: Larriba, Yolanda Statistical Methods at the Forefront of Biomedical Advances Cham : Springer International Publishing AG,c2023 9783031327285 327 $aForecasting 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. . 330 $aThis 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 very disparate biomedical areas, such as genomics, cancer, circadian biology, microbiome, mental disorders, and more. The mathematical rigor is written in a user-friendly way to serve a general biomedical audience ranging from trainees or students to doctors, as well as scientific researchers, university departments, and PhD students. 606 $aBiometry 606 $aBiomedical engineering 606 $aBioinformatics 606 $aBiological models 606 $aBiostatistics 606 $aBiomedical Engineering and Bioengineering 606 $aComputational and Systems Biology 606 $aBiological Models 615 0$aBiometry. 615 0$aBiomedical engineering. 615 0$aBioinformatics. 615 0$aBiological models. 615 14$aBiostatistics. 615 24$aBiomedical Engineering and Bioengineering. 615 24$aComputational and Systems Biology. 615 24$aBiological Models. 676 $a610.21 700 $aLarriba$b Yolanda$01424711 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910741181603321 996 $aStatistical Methods at the Forefront of Biomedical Advances$93554181 997 $aUNINA