Publications

Synced automatically from ORCID (weekly). Also on Google Scholar.

Dae-Jin Lee (2026). Learning Latent Memory States from Longitudinal Athlete Monitoring Data. arXiv:2608.06290.

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Ander García, Bruno V. Guerrero, Dariel Hernández-Delfin, Dae-Jin Lee, Marco Ellero (2026). Modeling crowd flow during stadium ingress under alternative access protocols: San Mamés as a case study. Simulation Modelling Practice and Theory.

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Imanol Gago-Carro, Unai Aldasoro, Dae-Jin Lee, María Merino (2025). Hierarchical compromise optimization of ambulance locations under stochastic travel times. Computers & Operations Research.

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Nere Larrea, Dae-Jin Lee, Irantzu Barrio, Inmaculada Arostegui, Eduardo Millan, José María Quintana (2025). Evaluating short-term forecast accuracy across COVID-19 waves using penalized spline models. International Journal of Medical Informatics.

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Víctor Aceña, Carmen Lancho, Isaac Martín De Diego, Javier M. Moguerza, Dae-Jin Lee (2025). Dynamic disagreeing neighbors: A deep dive into complexity estimation. Neurocomputing.

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Andrea Cremaschi, Dae-Jin Lee, Manuele Leonelli (2025). Understanding support for AI regulation: A Bayesian network perspective. International Journal of Engineering Business Management.

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Juan Carlos Espinosa-Moreno, Fernando García-García, Naia Mas-Bilbao, Susana García-Gutiérrez, María José Legarreta-Olabarrieta, Dae-Jin Lee (2025). Modelling in-hospital length of stay: A comparison of linear and ensemble models for competing risk analysis. PLOS One.

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Ander García, Dariel Hernández-Delfin, Dae-Jin Lee, Marco Ellero (2025). On the modeling of dynamic queue formation and decision-making in pedestrian dynamics simulations. Simulation Modelling Practice and Theory.

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Lore Zumeta Olaskoaga, Andreas Bender, Dae-Jin Lee (2025). Flexible modelling of time-varying exposures and recurrent events to analyse training load effects in team sports injuries. Journal of the Royal Statistical Society Series C: Applied Statistics.

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Ibon Martínez-Arranz, Cristina Alonso, Rebeca Mayo, Itziar Mincholé, José M. Mato, Dae-Jin Lee (2024). Genetic algorithms applied to translational strategy in metabolic-dysfunction associated steatohepatitis (MASH). Learning from mouse models. Computer Methods and Programs in Biomedicine.

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Jimmy Reyes, Josu Najera-Zuloaga, Dae-Jin Lee, Jaime Arrué, Yuri A. Iriarte (2024). A Bimodal Extension of the Beta-Binomial Distribution with Applications. Axioms.

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Fernando García-García, Dae-Jin Lee, Mónica Nieves Ermecheo, Olaia Bronte, Pedro Pablo España, José María Quintana, Rosario Menéndez, Antoni Torres, Luis Alberto Ruiz Iturriaga, Isabel Urrutia, COVID-19 & Air Pollution Working Group (2024). Obtaining patient phenotypes in SARS-CoV-2 pneumonia, and their association with clinical severity and mortality. Pneumonia.

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Cristina Galán-García Arcicollar, Josu Najera-Zuloaga, Dae-Jin Lee (2024). Patient-reported outcomes and survival analysis of chronic obstructive pulmonary disease patients: a two-stage joint modelling approach. SORT (Statistics and Operations Research Transactions).

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Fernando García-García, Dae-Jin Lee, Francisco J. Mendoza-Garcés, Susana García-Gutiérrez (2024). Reliable prediction of difficult airway for tracheal intubation from patient preoperative photographs by machine learning methods. Computer Methods and Programs in Biomedicine.

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Fernando García-García, Dae-Jin Lee, Pedro Pablo España Yandiola, Isabel Urrutia Landa, Joaquín Martínez-Minaya, Miren Hayet-Otero, Mónica Nieves Ermecheo, José María Quintana, Rosario Menéndez, Antoni Torres, Rafael Zalacain Jorge (2024). Cost-Sensitive Ordinal Classification Methods to Predict SARS-CoV-2 Pneumonia Severity. IEEE Journal of Biomedical and Health Informatics.

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Ander García, Dariel Hernández-Delfin, Borja González, Germán Garitaonaindia, Dae-Jin Lee, Marco Ellero (2024). Analysis of local density during football stadium access: Integrating pedestrian flow simulations and empirical data. Physica A: Statistical Mechanics and its Applications.

DOI Open access

Maritza Márquez, Cristian Meza, Dae-Jin Lee, Rolando De la Cruz (2023). Classification of longitudinal profiles using semi‐parametric nonlinear mixed models with P‐Splines and the SAEM algorithm. Statistics in Medicine.

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O. Bronte, F. García-García, Dae-Jin Lee, I. Urrutia, A. Uranga, M. Nieves, J. Martínez-Minaya, J.M. Quintana, I. Arostegui, R. Zalacain, L.A. Ruiz-Iturriaga, L. Serrano, R. Menéndez, R. Méndez, A. Torres, C. Cilloniz, P.P. España (2023). Impact of outdoor air pollution on severity and mortality in COVID-19 pneumonia. Science of The Total Environment.

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María Alejandra Hernández, Dae-Jin Lee, María Xosé Rodríguez-Álvarez, María Durbán (2023). Derivative curve estimation in longitudinal studies using P-splines. Statistical Modelling.

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Josu Najera-Zuloaga, Dae-Jin Lee, Cristobal Esteban, Inmaculada Arostegui (2023). Multidimensional beta-binomial regression model: A joint analysis of patient-reported outcomes. Statistical Modelling.

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Miren Hayet-Otero, Fernando García-García, Dae-Jin Lee, Joaquín Martínez-Minaya, Pedro Pablo España Yandiola, Isabel Urrutia Landa, Mónica Nieves Ermecheo, José María Quintana, Rosario Menéndez, Antoni Torres, Rafael Zalacain Jorge, Inmaculada Arostegui (2023). Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques. PLOS ONE.

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Fernando García-García, Dae-Jin Lee, Francisco J. Mendoza-Garcés, Sofía Irigoyen-Miró, María J. Legarreta-Olabarrieta, Susana García-Gutiérrez, Inmaculada Arostegui (2023). Automated location of orofacial landmarks to characterize airway morphology in anaesthesia via deep convolutional neural networks. Computer Methods and Programs in Biomedicine.

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Lore Zumeta Olaskoaga, Maximilian Weigert, Jon Larruskain, Eder Bikandi, Igor Setuain, Josean Lekue, Helmut Küchenhoff, Dae-Jin Lee (2023). Prediction of sports injuries in football: a recurrent time-to-event approach using regularized Cox models. AStA Advances in Statistical Analysis.

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Ander García, Dariel Hernández-Delfin, Dae-Jin Lee, Marco Ellero (2023). Limited visual range in the Social Force Model: Effects on macroscopic and microscopic dynamics. Physica A: Statistical Mechanics and its Applications.

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Xabier Monasterio, Susana Gil, Iraia Bidaurrazaga-Letona, Jose A Lekue, Gontzal Diaz-Beitia, Juan M Santisteban, Dae-Jin Lee, Lore Zumeta Olaskoaga, Imanol Martin Garetxana, Jon Larruskain (2022). Peak Height Velocity Affects Injury Burden in Circa-PHV Soccer Players.. International journal of sports medicine.

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Dae-Jin Lee, María Durbán, Diego Ayma, Jan Van de Kassteele (2022). Modeling latent spatio-temporal disease incidence using penalized composite link models. PLOS ONE.

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María Xosé Rodríguez-Álvarez, María Durbán, Paul H.C. Eilers, Dae-Jin Lee, Francisco Gonzalez (2022). Multidimensional adaptive P-splines with application to neurons' activity studies. Biometrics.

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María Durbán, Dae-Jin Lee, María del Carmen Aguilera-Morillo, Ana M. Aguilera (2021). From spatio-temporal smoothing to functional spatial regression: a penalized approach. Geostatistical Functional Data Analysis. Theory and Methods. John Wiley & Sons.

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Alba Carballo, María Durbán, Dae-Jin Lee (2021). Out-of-Sample Prediction in Multidimensional P-Spline Models. Mathematics.

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Xabier Monasterio Cuenca, Susana Gil Orozko, Iraia Bidaurrazaga Lopez de Letona, Josean Lekue Gallano, Juan Santisteban Martinez, Gontzal Díaz-Beitia Merino, Dae-Jin Lee, Lore Zumeta Olaskoaga, Imanol Martin Garetxana, Eder Bikandi Latxaga, Jon Larruskain Zabala (2021). Heltze egoeraren araberako hazkunde-lesio motak goi-mailako futbolari gazteetan.

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Xabier Monasterio, Susana M. Gil, Iraia Bidaurrazaga‐Letona, Jose A. Lekue, Juan M. Santisteban, Gontzal Diaz‐Beitia, Dae-Jin Lee, Lore Zumeta‐Olaskoaga, Imanol Martin‐Garetxana, Eder Bikandi, Jon Larruskain (2021). The burden of injuries according to maturity status and timing: A two-decade study with 110 growth curves in an elite football academy. European Journal of Sport Science.

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Alba Carballo, María Durbán, Göran Kauermann, Dae-Jin Lee (2021). A general framework for prediction in penalized regression. Statistical Modelling.

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María Xosé Rodríguez-Álvarez, María Durbán, Paul H.C. Eilers, Dae-Jin Lee, Francisco Gonzalez (2020). Multidimensional adaptive penalised splines with application to neurons’ activity studies. arXiv.

L. Citores, L. Ibaibarriaga, Dae-Jin Lee, M.J. Brewer, M. Santos, G. Chust (2020). Modelling species presence–absence in the ecological niche theory framework using shape-constrained generalized additive models. Ecological Modelling.

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Lissete Sánchez-Magraner, James Miles, Claire L. Baker, Christopher J. Applebee, Dae-Jin Lee, Somaia Elsheikh, Shaimaa Lashin, Katriona Withers, Andrew G. Watts, Richard Parry, Christine Edmead, Jose Ignacio Lopez, Raj Mehta, Antoine Italiano, Stephen G. Ward, Peter J. Parker, Banafshé Larijani (2020). High PD-1/PD-L1 checkpoint interaction infers tumor selection and therapeutic sensitivity to anti-PD-1/PD-L1 treatment. Cancer Research.

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Garritt L. Page, María Xosé Rodríguez-Álvarez, Dae-Jin Lee (2020). Bayesian hierarchical modelling of growth curve derivatives via sequences of quotient differences. Journal of the Royal Statistical Society. Series C: Applied Statistics.

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Josu Najera‐Zuloaga, Dae-Jin Lee, Inmaculada Arostegui (2019). A beta‐binomial mixed‐effects model approach for analysing longitudinal discrete and bounded outcomes. Biometrical Journal.

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María Xosé Rodríguez-Álvarez, María Durbán, Dae-Jin Lee, Paul H. C. Eilers (2019). On the estimation of variance parameters in non-standard generalised linear mixed models: application to penalised smoothing. Statistics and Computing.

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Josu Najera-Zuloaga, Dae-Jin Lee, Inmaculada Arostegui (2018). Comparison of beta-binomial regression model approaches to analyze health-related quality of life data. Statistical Methods in Medical Research.

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Joxe Mikel Garmendia, Mireia Valle, Ángel Borja, Guillem Chust, Dae-Jin Lee, J. Germán Rodríguez, Javier Franco (2017). Effect of trampling and digging from shellfishing on Zostera noltei (Zosteraceae) intertidal seagrass beds. Scientia Marina.

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James Miles, Christopher J. Applebee, Pierre Leboucher, Sonia Lopez-Fernandez, Dae-Jin Lee, Rosa Guarch, Stephen Ward, Peter J. Parker, Jose I. López, Banafshé Larijani (2017). Time resolved amplified FRET identifies protein kinase B activation state as a marker for poor prognosis in clear cell renal cell carcinoma. BBA Clinical.

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Mariola Sánchez-González, María Durbán, Dae-Jin Lee, Isabel Cañellas, Hortensia Sixto (2017). Smooth additive mixed models for predicting aboveground biomass. Journal of Agricultural, Biological, and Environmental Statistics.

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Rolando De la Cruz, Claudio Fuentes, Cristian Meza, Dae-Jin Lee, Ana Arribas-Gil (2017). Predicting pregnancy outcomes using longitudinal information: a penalized splines mixed-effects model approach. Statistics in Medicine.

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Diego Ayma, María Durbán, Dae-Jin Lee, Paul H.C. Eilers (2016). Penalized composite link models for aggregated spatial count data: A mixed model approach. Spatial Statistics.

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Dae-Jin Lee, Z. Zhu, P. Toscas (2015). Spatio-temporal functional data analysis for wireless sensor networks data. Environmetrics.

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Dae-Jin Lee, Peter Toscas (2015). Flexible geostatistical modeling and risk assessment analysis of lead concentration levels of residential soil in the Coeur D’Alene River Basin. Environmental and Ecological Statistics.

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María Xosé Rodríguez-Álvarez, Dae-Jin Lee, Thomas Kneib, María Durbán, Paul Eilers (2015). Fast smoothing parameter separation in multidimensional generalized P-splines: the SAP algorithm. Statistics and Computing.

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Dae-Jin Lee, María Durbán, Paul Eilers (2013). Efficient two-dimensional smoothing with P-spline ANOVA mixed models and nested bases. Computational Statistics and Data Analysis.

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Rodolfo García-Flores, Peter Toscas, Dae-Jin Lee, Olena Gavriliouk, Geoff Robinson (2012). A Comparison of Methods for Solving the Sensor Location Problem. Geostatistics Oslo 2012.

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Dae-Jin Lee, María Durbán (2011). P-spline ANOVA-type interaction models for spatio-temporal smoothing. Statistical Modelling.

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Dae-Jin Lee, María Durbán (2009). Smooth-CAR mixed models for spatial count data. Computational Statistics and Data Analysis.

DOI Open access