| P-spline ANOVA-type interaction models for spatio-temporal smoothing DJ Lee, M Durbán Statistical modelling 11 (1), 49-69, 2011 | 131 | 2011 |
| Smooth-CAR mixed models for spatial count data DJ Lee, M Durbán Computational Statistics & Data Analysis 53 (8), 2968-2979, 2009 | 67 | 2009 |
| Efficient two-dimensional smoothing with P-spline ANOVA mixed models and nested bases DJ Lee, M Durbán, P Eilers Computational Statistics & Data Analysis 61, 22-37, 2013 | 66 | 2013 |
| Fast smoothing parameter separation in multidimensional generalized P-splines: the SAP algorithm MX Rodríguez-Álvarez, DJ Lee, T Kneib, M Durbán, P Eilers Statistics and Computing 25, 941-957, 2015 | 59 | 2015 |
| High PD-1/PD-L1 checkpoint interaction infers tumor selection and therapeutic sensitivity to anti-PD-1/PD-L1 treatment L Sánchez-Magraner, J Miles, CL Baker, CJ Applebee, DJ Lee, ... Cancer Research 80 (19), 4244-4257, 2020 | 36 | 2020 |
| Modelling species presence–absence in the ecological niche theory framework using shape-constrained generalized additive models L Citores, L Ibaibarriaga, DJ Lee, MJ Brewer, M Santos, G Chust Ecological Modelling 418, 108926, 2020 | 31 | 2020 |
| Smoothing mixed models for spatial and spatio-temporal data DJ Lee | 30 | 2010 |
| On the estimation of variance parameters in non-standard generalised linear mixed models: Application to penalised smoothing MX Rodríguez-Álvarez, M Durban, DJ Lee, PHC Eilers Statistics and Computing 29, 483-500, 2019 | 27 | 2019 |
| Comparison of beta-binomial regression model approaches to analyze health-related quality of life data J Najera-Zuloaga, DJ Lee, I Arostegui Statistical methods in medical research 27 (10), 2989-3009, 2018 | 27 | 2018 |
| The burden of injuries according to maturity status and timing: A two-decade study with 110 growth curves in an elite football academy X Monasterio, SM Gil, I Bidaurrazaga-Letona, JA Lekue, JM Santisteban, ... European journal of sport science 23 (2), 267-277, 2023 | 25 | 2023 |
| Effect of trampling and digging from shellfishing on Zostera noltei (Zosteraceae) intertidal seagrass beds JGFJ Garmendia, J.M., Valle, M., Borja, A., Chust, G., Lee, D.-J., Rodríguez Scientia Marina, 2017 | 25 | 2017 |
| Self learning mini-videos through Internet and mobile telephones: a help to the student in the Bologna process E Letón, M Durbán, DJ Lee EDULEARN09 Proceedings, 4277-4283, 2009 | 18 | 2009 |
| Spatio‐temporal functional data analysis for wireless sensor networks data DJ Lee, Z Zhu, P Toscas Environmetrics 26 (5), 354-362, 2015 | 17 | 2015 |
| A beta‐binomial mixed‐effects model approach for analysing longitudinal discrete and bounded outcomes J Najera‐Zuloaga, DJ Lee, I Arostegui Biometrical Journal 61 (3), 600-615, 2019 | 14 | 2019 |
| Smooth additive mixed models for predicting aboveground biomass M Sánchez-González, M Durbán, DJ Lee, I Cañellas, H Sixto Journal of Agricultural, Biological and Environmental Statistics 22, 23-41, 2017 | 13 | 2017 |
| Time resolved amplified FRET identifies protein kinase B activation state as a marker for poor prognosis in clear cell renal cell carcinoma J Miles, CJ Applebee, P Leboucher, S Lopez-Fernandez, DJ Lee, ... BBA clinical 8, 97-102, 2017 | 10 | 2017 |
| Predicting Pregnancy Outcomes Using Longitudinal Information: A Penalized Splines Mixed–Effects Model Approach R De La Cruz, C Fuentes, C Meza, DJ Lee, A Arribas-Gil Statistics in Medicine, 2017 | 9 | 2017 |
| A general framework for prediction in penalized regression A Carballo, M Durban, G Kauermann, DJ Lee Statistical Modelling 21 (4), 293-312, 2021 | 8 | 2021 |
| Penalized composite link models for aggregated spatial count data: a mixed model approach D Ayma, M Durban, DJ Lee, PHC Eilers Spatial Statistics 17, 179-198, 2016 | 8 | 2016 |
| Limited visual range in the Social Force Model: Effects on macroscopic and microscopic dynamics A García, D Hernández-Delfin, DJ Lee, M Ellero Physica A: Statistical Mechanics and its Applications 612, 128461, 2023 | 6 | 2023 |
Maria DurbanUniversidad Carlos III de MadridVerifierad e-postadress på uc3m.es
