Publications

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

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.

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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, D.-J. 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, Dae-Jin Lee (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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Dae-Jin Lee (2023). Multidimensional beta-binomial regression model: A joint analysis of patient-reported outcomes. Statistical Modelling.

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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Dae-Jin Lee (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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Monasterio, X., Gil SM, Bidaurrazaga-Letona, I., Lekue JA, Diaz-Beitia, G., Santisteban JM, Lee DJ, Zumeta-Olaskoaga, L., Martin-Garetxana, I., Larruskain, J., Dae-Jin Lee (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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Dae-Jin Lee (2022). Multidimensional adaptive P-splines with application to neurons' activity studies. Biometrics.

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Dae-Jin Lee (2021). From spatio-temporal smoothing to functional spatial regression: a penalized approach. Geostatistical Functional Data Analysis. Theory and Methods. John Wiley & Sons.

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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Dae-Jin Lee (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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Dae-Jin Lee (2021). A general framework for prediction in penalized regression. Statistical Modelling.

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Dae-Jin Lee (2020). Multidimensional adaptive penalised splines with application to neurons’ activity studies. arXiv.

Dae-Jin Lee (2020). Modelling species presence–absence in the ecological niche theory framework using shape-constrained generalized additive models. Ecological Modelling.

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Dae-Jin Lee (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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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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Dae-Jin Lee (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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Dae-Jin Lee (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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Dae-Jin Lee (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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Dae-Jin Lee (2017). Smooth additive mixed models for predicting aboveground biomass. Journal of Agricultural, Biological, and Environmental Statistics.

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Dae-Jin Lee (2017). Predicting pregnancy outcomes using longitudinal information: a penalized splines mixed-effects model approach. Statistics in Medicine.

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Dae-Jin Lee (2016). Penalized composite link models for aggregated spatial count data: A mixed model approach. Spatial Statistics.

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Dae-Jin Lee (2015). Spatio-temporal functional data analysis for wireless sensor networks data. Environmetrics.

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Dae-Jin Lee (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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Dae-Jin Lee (2015). Fast smoothing parameter separation in multidimensional generalized P-splines: the SAP algorithm. Statistics and Computing.

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

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

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