Marcos Matabuena
Marcos Matabuena
Department of Biostatistics, Harvard University
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Neutrophil to lymphocyte ratio and breast cancer risk: analysis by subtype and potential interactions
M Gago-Dominguez, M Matabuena, CM Redondo, SP Patel, A Carracedo, ...
Scientific reports 10 (1), 13203, 2020
Glucodensities: A new representation of glucose profiles using distributional data analysis
M Matabuena, A Petersen, JC Vidal, F Gude
Statistical methods in medical research 30 (6), 1445-1464, 2021
Top-level karate: analysis of frequency and successfulness of katas in K1 Premiere League
D Cierna Augustovicova, J Argajova, M Saavedra García, ...
Ido Movement for Culture. Journal of Martial Arts Anthropology 18 (4), 46-53, 2018
Fatigue induced changes in muscle strength and gait following two different intensity, energy expenditure matched runs
S Riazati, N Caplan, M Matabuena, PR Hayes
Frontiers in bioengineering and biotechnology 8, 360, 2020
Distributional data analysis of accelerometer data from the NHANES database using nonparametric survey regression models
M Matabuena, A Petersen
Journal of the Royal Statistical Society Series C: Applied Statistics 72 (2 …, 2023
A 6-minute sub-maximal run test to predict VO2 max
M Matabuena, JC Vidal, PR Hayes, F Huelin Trillo
Journal of sports sciences 36 (22), 2531-2536, 2018
Application of functional data analysis for the prediction of maximum heart rate
M Matabuena, JC Vidal, PR Hayes, M Saavedra-Garcia, FH Trillo
IEEE Access 7, 121841-121852, 2019
An improved version of the classical banister model to predict changes in physical condition
M Matabuena, R Rodríguez-López
Bulletin of Mathematical Biology 81, 1867-1884, 2019
Kernel machine learning methods to handle missing responses with complex predictors. Application in modelling five-year glucose changes using distributional representations
M Matabuena, P Félix, C García-Meixide, F Gude
Computer Methods and Programs in Biomedicine 221, 106905, 2022
Physical activity phenotypes and mortality in older adults: a novel distributional data analysis of accelerometry in the NHANES
M Matabuena, P Félix, ZAA Hammouri, J Mota, B del Pozo Cruz
Aging Clinical and Experimental Research 34 (12), 3107-3114, 2022
A new approach to study the relative age effect with the use of additive logistic regression models: A case of study of FIFA football tournaments (1908-2012)
M Saavedra-Garcia, M Matabuena, A Montero-Seoane, ...
PloS one 14 (7), e0219757, 2019
Identification of asthma phenotypes in the Spanish mega cohort study using cluster analysis
M Matabuena, FJ Salgado, JJ Nieto-Fontarigo, MJ Álvarez-Puebla, ...
Archivos de bronconeumologia 59 (4), 223-231, 2023
Hypothesis testing for matched pairs with missing data by maximum mean discrepancy: An application to continuous glucose monitoring
M Matabuena, P Félix, M Ditzhaus, J Vidal, F Gude
The American Statistician 77 (4), 357-369, 2023
COVID-19: Estimation of the transmission dynamics in Spain using a stochastic simulator and black-box optimization techniques
M Matabuena, P Rodriguez-Mier, C Garcia-Meixide, V Leboran
Computer Methods and Programs in Biomedicine 211, 106399, 2021
COVID-19: estimating spread in Spain solving an inverse problem with a probabilistic model
M Matabuena, C Meijide-García, P Rodríguez-Mier, V Leborán
arXiv preprint arXiv:2004.13695, 2020
Estimating knee movement patterns of recreational runners across training sessions using multilevel functional regression models
M Matabuena, M Karas, S Riazati, N Caplan, PR Hayes
The American Statistician 77 (2), 169-181, 2023
Predicting distributional profiles of physical activity in the NHANES database using a Partially Linear Single-Index Fr\'echet Regression model
A Ghosal, M Matabuena, W Meiring, A Petersen
arXiv preprint arXiv:2302.07692, 2023
Modelado estadístico y matemático en la epidemia del coronavirus: algunas consideraciones para minimizar los sesgos en los resultados
M Matabuena, OHM Padilla, FJ Gonzalez-Barcala
Archivos de Bronconeumología 56 (9), 601, 2020
Statistical and mathematical modeling in the coronavirus epidemic: some considerations to minimize biases in the results
M Matabuena, OHM Padilla, FJ Gonzalez-Barcala
Archivos de bronconeumologia 56 (9), 601, 2020
Prediction of maximal oxygen uptake from submaximal exercise testing in chronic respiratory patients. new perspectives
M Matabuena, PR Hayes, L Puente-Maestu
Archivos de bronconeumologia 55 (10), 507-508, 2019
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Artículos 1–20