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

Lee, D.-J.Autoridad BCAM; 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, ...
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A two-stage approach for the spatio-temporal analysis of high-throughput phenotyping data 

Pérez, D.M.Autoridad BCAM; Rodríguez-Álvarez, M.X.Autoridad BCAM; Boer, M.P; Kronenberg, L.; Hund, A.; Cabrera-Bosquet, L.; Millet, E.J.; van Eeuwijk, F.A. (2022-02-24)
High throughput phenotyping (HTP) platforms and devices are increasingly used for the characterization of growth and developmental processes for large sets of plant genotypes. Such HTP data require challenging statistical ...
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Prediction of sports injuries in football: a recurrent time-to-event approach using regularized Cox models 

Zumeta, L.Autoridad BCAM; Weigert, M.; Larruskain, J.; Bikandi, E.; Setuain, I.; Lekue, J.; Küchenhoff, H.; Lee, D.-J.Autoridad BCAM (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 ...
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From habitat to management: a simulation framework for improving statistical methods in fisheries science 

Citores Martínez, L. (2021-07-07)
Monte Carlo simulation consists of computer experiments that involve creating data by pseudo-random sampling and has shown to be a powerful tool for studying the performance of statistical methods. In this thesis Monte ...
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Simulation approach for assessing the performance of the γEWMA control chart 

Patino-Rodriguez, C.; Pérez, D. M.; Usuga Manco, O. (2021-02-22)
i) Purpose: The purpose of this paper is to evaluate the performance of a modified EWMA control chart ($\gamma$EWMA control chart), which considers data distribution and incorporate its correlation structure, simulating ...
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Phenomics data processing: A plot-level model for repeated measurements to extract the timing of key stages and quantities at defined time points 

Roth, L.; Van Eeuwijk, F.; Rodríguez-Álvarez, M.X.Autoridad BCAM; Hans-Peter, P.; Hund, A. (2021)
Decision-making in breeding increasingly depends on the ability to capture and predict crop responses to changing environmental factors. Advances in crop modeling as well as high-throughput eld phenotyping (HTFP) hold ...
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ROCnReg: An R Package for Receiver Operating Characteristic Curve Inference With and Without Covariates 

Rodríguez-Álvarez, M.X.Autoridad BCAM; Vanda, I. (2021-01-01)
This paper introduces the package ROCnReg that allows estimating the pooled ROC curve, the covariate-specific ROC curve, and the covariate-adjusted ROC curve by different methods, both from (semi) parametric and nonparametric ...
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Package wsbackfit for Smooth Backfitting Estimation of Generalized Structured Models 

Roca-Pardinas, J.; Rodríguez-Álvarez, M.X.Autoridad BCAM; Sperlich, S. (2021-01-01)
A package is introduced that provides the weighted smooth backfitting estimator for a large family of popular semiparametric regression models. This family is known as generalized structured models, comprising, for example, ...
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Altered effective connectivity in sensorimotor cortices: a novel signature of severity and clinical course in depression 

Ray, D.; Bezmaternykh, D.; Mel'nikov, M.; Friston, K.J.; Das, M. (2021)
Functional neuroimaging research on depression has traditionally targeted neural networks associated with the psychological aspects of depression. In this study, instead, we focus on alterations of sensorimotor function ...
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A General Framework for Prediction in Generalized Additive Models 

Carballo, A. (2020-01-13)
Smoothing techniques have become one of the most popular modelling approaches in the unidimensional and multidimensional setting. However, out-of-sample prediction in the context of smoothing models is still an open problem ...
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EgileaLee, D.-J. (20)Rodríguez-Álvarez, M.X. (19)Arostegui, I. (16)Durban, M. (10)Eilers, P.H.C. (10)Higueras, M. (10)Quintana, J.M. (9)Barrio, I. (6)Esteban, C. (6)Najera-Zuloaga, J. (5)... másMateriacategorisation (3)P-splines (3)Penalized composite link models (3)Penalized splines (3)Adaptive Smoothing (2)COPD (2)cut point (2)Longitudinal data (2)Mixed Models (2)mixed models (2)... másFecha2022 (2)2021 (7)2020 (9)2019 (5)2018 (13)2017 (15)2016 (8)2015 (6)2014 (1)

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