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Marcos Matabuena

Showing results (1-10 of 38) with videos related to

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Arxiv|June 3, 2024
Multilevel functional data analysis modeling of human glucose response to meal intakeMarcos Matabuena, Joe Sartini
Biometrical Journal. Biometrische Zeitschrift|September 23, 2024
Multivariate Scalar on Multidimensional Distribution Regression With Application to Modeling the Association Between Physical Activity and Cognitive FunctionsRahul Ghosal, Marcos Matabuena
Bulletin of Mathematical Biology|March 8, 2019
An Improved Version of the Classical Banister Model to Predict Changes in Physical ConditionMarcos Matabuena, Rosana Rodríguez-López
Statistical Methods in Medical Research|February 11, 2025
Causal survival embeddings: Non-parametric counterfactual inference under right-censoringCarlos García Meixide, Marcos Matabuena
BMC Medical Research Methodology|January 24, 2026
Beyond scalar metrics: functional data analysis of postprandial continuous glucose monitoring in the AEGIS studyMarcos Matabuena, Joseph Sartini, Francisco Gude
Statistical Methods in Medical Research|October 19, 2023
Functional proportional hazards mixture cure model with applications in cancer mortality in NHANES and post ICU recoveryRahul Ghosal, Marcos Matabuena, Jiajia Zhang
Plos Computational Biology|May 12, 2025
Conformal prediction for uncertainty quantification in dynamic biological systemsAlberto Portela, Julio R Banga, Marcos Matabuena
Archivos De Bronconeumologia|February 9, 2019
Prediction of Maximal Oxygen Uptake From Submaximal Exercise Testing in Chronic Respiratory Patients. New PerspectivesMarcos Matabuena, Philip R Hayes, Luis Puente-Maestu
Biostatistics (Oxford, England)|May 23, 2025
Predicting distributions of physical activity profiles in the National Health and Nutrition Examination Survey database using a partially linear Fréchet single index modelMarcos Matabuena, Aritra Ghosal, Wendy Meiring, et al.
Computer Methods and Programs in Biomedicine|June 1, 2022
Kernel machine learning methods to handle missing responses with complex predictors. Application in modelling five-year glucose changes using distributional representationsMarcos Matabuena, Paulo Félix, Carlos García-Meixide, et al.
Pageof 4

Showing results (1-10 of 38) with videos related to

Sort By:
Pageof 4
Arxiv|June 3, 2024
Multilevel functional data analysis modeling of human glucose response to meal intakeMarcos Matabuena, Joe Sartini
Biometrical Journal. Biometrische Zeitschrift|September 23, 2024
Multivariate Scalar on Multidimensional Distribution Regression With Application to Modeling the Association Between Physical Activity and Cognitive FunctionsRahul Ghosal, Marcos Matabuena
Bulletin of Mathematical Biology|March 8, 2019
An Improved Version of the Classical Banister Model to Predict Changes in Physical ConditionMarcos Matabuena, Rosana Rodríguez-López
Statistical Methods in Medical Research|February 11, 2025
Causal survival embeddings: Non-parametric counterfactual inference under right-censoringCarlos García Meixide, Marcos Matabuena
BMC Medical Research Methodology|January 24, 2026
Beyond scalar metrics: functional data analysis of postprandial continuous glucose monitoring in the AEGIS studyMarcos Matabuena, Joseph Sartini, Francisco Gude
Statistical Methods in Medical Research|October 19, 2023
Functional proportional hazards mixture cure model with applications in cancer mortality in NHANES and post ICU recoveryRahul Ghosal, Marcos Matabuena, Jiajia Zhang
Plos Computational Biology|May 12, 2025
Conformal prediction for uncertainty quantification in dynamic biological systemsAlberto Portela, Julio R Banga, Marcos Matabuena
Archivos De Bronconeumologia|February 9, 2019
Prediction of Maximal Oxygen Uptake From Submaximal Exercise Testing in Chronic Respiratory Patients. New PerspectivesMarcos Matabuena, Philip R Hayes, Luis Puente-Maestu
Biostatistics (Oxford, England)|May 23, 2025
Predicting distributions of physical activity profiles in the National Health and Nutrition Examination Survey database using a partially linear Fréchet single index modelMarcos Matabuena, Aritra Ghosal, Wendy Meiring, et al.
Computer Methods and Programs in Biomedicine|June 1, 2022
Kernel machine learning methods to handle missing responses with complex predictors. Application in modelling five-year glucose changes using distributional representationsMarcos Matabuena, Paulo Félix, Carlos García-Meixide, et al.
Pageof 4