Zobrazeno 1 - 10
of 130
pro vyhledávání: '"Javier Roca-Pardiñas"'
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 7, Pp 6435-6454 (2022)
Generalized additive models provide a flexible and easily-interpretable method for uncovering a nonlinear relationship between response and covariates. In many situations, the effect of a continuous covariate on the response varies across groups defi
Externí odkaz:
https://doaj.org/article/77aab71562154004ab4a375c81235512
Autor:
Sabela Couso-Viana, Carmen Bentué-Martínez, María Victoria Delgado-Martín, Elena Cabeza-Irigoyen, Montserrat León-Latre, Ana Concheiro-Guisán, María Xosé Rodríguez-Álvarez, Miguel Román-Rodríguez, Javier Roca-Pardiñas, María Zúñiga-Antón, Ana García-Flaquer, Pau Pericàs-Pulido, Raquel Sánchez-Recio, Beatriz González-Álvarez, Sara Rodríguez-Pastoriza, Irene Gómez-Gómez, Emma Motrico, José Luís Jiménez-Murillo, Isabel Rabanaque, Ana Clavería
Publikováno v:
Frontiers in Medicine, Vol 9 (2022)
BackgroundIn recent years, different tools have been developed to facilitate analysis of social determinants of health (SDH) and apply this to health policy. The possibility of generating predictive models of health outcomes which combine a wide rang
Externí odkaz:
https://doaj.org/article/0871c1d43ce9484181c1faead58ed7ae
Publikováno v:
Mathematics, Vol 11, Iss 10, p 2299 (2023)
Identifying the mutational processes that shape the nucleotide composition of the mitochondrial genome (mtDNA) is fundamental to better understand how these genomes evolve. Several methods have been proposed to analyze DNA sequence nucleotide composi
Externí odkaz:
https://doaj.org/article/b3d1431c926b4116a6b84d83d90acdf6
Autor:
Concepción Cruces-Artero, Cristina Hervés-Beloso, Victoria Martín-Miguel, Susana Hernáiz-Valero, Fernando Isidro Lago-Deibe, Martín Montero-Gumucio, Mar Orge-Amoedo, Javier Roca-Pardiñas, Ana Clavería
Publikováno v:
Gaceta Sanitaria, Vol 33, Iss 5, Pp 421-426 (2019)
Resumen: Objetivo: Validar el cuestionario STOP-Bang para la apnea moderada frente al método de referencia (polisomnografía de tipo I) en atención primaria. Método: Estudio de utilidad diagnóstica en atención primaria con una muestra estimada d
Externí odkaz:
https://doaj.org/article/53ebda444bd1405089a3b5b461ffa4a3
Publikováno v:
Journal of Statistical Software, Vol 82, Iss 1, Pp 1-27 (2017)
We present the R npregfast package via some applications involved with the study of living organisms. The package implements nonparametric estimation procedures in regression models with or without factor-by-curve interactions. The main feature of th
Externí odkaz:
https://doaj.org/article/3876d9d7f99749879aced85fa02469ba
Publikováno v:
The R Journal. 14:136-152
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35598b96390b4f1c55c455fae4caac6b
https://doi.org/10.32614/rj-2022-029
https://doi.org/10.32614/rj-2022-029
Publikováno v:
Mathematics, Vol 9, Iss 12, p 1328 (2021)
Supervised classification of 3D point clouds using machine learning algorithms and handcrafted local features as covariates frequently depends on the size of the neighborhood (scale) around each point used to determine those features. It is therefore
Externí odkaz:
https://doaj.org/article/8ccb7f64f841447d92673bd5b3e2957e
Publikováno v:
Mathematics, Vol 8, Iss 6, p 941 (2020)
Predicting anomalous emission of pollutants into the atmosphere well in advance is crucial for industries emitting such elements, since it allows them to take corrective measures aimed to avoid such emissions and their consequences. In this work, we
Externí odkaz:
https://doaj.org/article/354a9bc5b73b4267b386fa7a7dcb4193
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 59:10618-10627
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e94d8977c401214f47271ecfdba9bcb9
https://doi.org/10.1109/tgrs.2021.3050693
https://doi.org/10.1109/tgrs.2021.3050693
Publikováno v:
Journal of Statistical Software, Vol 62, Iss 1, Pp 1-29 (2014)
One major goal in clinical applications of multi-state models is the estimation of transition probabilities. The usual nonparametric estimator of the transition matrix for non-homogeneous Markov processes is the Aalen-Johansen estimator (Aalen and Jo
Externí odkaz:
https://doaj.org/article/3a25e1662bd248ac983df8c643f4044b