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Modeling latent spatio-temporal disease incidence using penalized composite link models

Lee, D.-J.

; Durban, M.; Ayma, D.; Van de Kassteele, J. (2022-03-10)

Epidemiological data are frequently recorded at coarse spatio-temporal resolutions to protect confidential information or to summarize it in a compact manner. However, the detailed patterns followed by the source data, ...

Prediction of sports injuries in football: a recurrent time-to-event approach using regularized Cox models

Zumeta, L.

; Weigert, M.; Larruskain, J.; Bikandi, E.; Setuain, I.; Lekue, J.; Küchenhoff, H.; Lee, D.-J.

(2021-11-20)

Data-based methods and statistical models are given special attention to the study of sports injuries to gain in-depth understanding of its risk factors and mechanisms. The objective of this work is to evaluate the use of ...

Modelling species presence–absence in the ecological niche theory framework using shape-constrained generalized additive models

Citores, L.; Ibaibarriaga, L.; Lee, D.-J.

; Brewer, M.J.; Santos, M.; Chust, G. (2020-01-13)

According to ecological niche theory, species response curves are unimodal with respect to environmental gradients. A variety of statistical methods have been developed for species distribution modelling. A general problem ...

Bayesian hierarchical modelling of growth curve derivatives via sequences of quotient differences

Page, G.L.; Rodríguez-Álvarez, M.X.

; Lee, D.-J.

(2020-01)

Growth curve studies are typically conducted to evaluate differences between group or treatment-specific curves. Most analyses focus solely on the growth curves, but it has been argued that the derivative of growth curves ...

A beta-binomial mixed-effects model approach for analysing longitudinal discrete and bounded outcomes

Najera-Zuloaga, J.; Lee, D.-J.

; Arostegui, I.

(2018-05)

Patient-reported outcomes (PROs) are currently being increasingly used as primary outcome measures in observational and experimental studies since they inform clinicians and researchers about the health-status of patients ...

On the estimation of variance parameters in non-standard generalised linear mixed models: Application to penalised smoothing

Rodríguez-Álvarez, M.X.

; Durban, M.; Lee, D.-J.

; Eilers, P.H.C. (2018-01-24)

We present a novel method for the estimation of variance parameters in generalised linear mixed models. The method has its roots in Harville (1977)'s work, but it is able to deal with models that have a precision matrix ...

Time resolved amplified FRET identifies protein kinase B activation state as a marker for poor prognosis in clear cell renal cell carcinoma

Miles, J.; Applebee, C.J.; Leboucher, P.; Lopez-Fernandez, S.; Lee, D.-J.

; Guarch, R.; Ward, S.; Parker, P.J.; López, J.I.; Larijani B (2017-12)

Purpose Clear cell Renal Cell Carcinomas (ccRCC), the largest group of renal tumours, are resistant to classical therapies. The determination of the functional state of actionable biomarkers for the assessment of these ...

Effect of trampling and digging from shell shing on Zostera noltei (Zosteraceae) intertidal seagrass beds

Garmendia, J.M.; Valle, M.; Borja, A.; Chust, G.; Lee, D.-J.

; Rodríguez, J.G.; Franco, J. (2017-03)

Seagrass beds are among the most valuable ecosystems in the world but they are also among the ones most affected by human activities, and they have decreased significantly in recent decades. In many areas, such as in the ...

Predicting Pregnancy Outcomes Using Longitudinal Information: A Penalized Splines Mixed–Effects Model Approach

De la Cruz, R.; Fuentes, C.; Meza, C.; Lee, D.-J.

; Arribas-Gil, A. (2017-02-09)

We propose a semiparametric mixed–effects model (SNMM) using penalized splines to clas- sify longitudinal data and improve the prediction of a binary outcome. The work is motivated by a study in which different hormone ...

Comparison of beta-binomial regression model approaches to analyze health related quality of life data