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Now showing items 1-10 of 19

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

Page, G.L.; Rodríguez-Álvarez, M.X.Autoridad BCAM; Lee, D.-J.Autoridad BCAM (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 ...
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Bayesian nonparametric inference for the covariate-adjusted ROC curve 

Inacio de Carvalho, V.; Rodríguez-Álvarez, M.X.Autoridad BCAM (2018-05-30)
Accurate diagnosis of disease is of fundamental importance in clinical practice and medical research. Before a medical diagnostic test is routinely used in practice, its ability to distinguish between diseased and nondiseased ...
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On the estimation of variance parameters in non-standard generalised linear mixed models: Application to penalised smoothing 

Rodríguez-Álvarez, M.X.Autoridad BCAM; Durban, M.; Lee, D.-J.Autoridad BCAM; 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 ...
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Sample size impact on the categorisation of continuous variables in clinical prediction 

Barrio, I.; Arostegui, I.Autoridad BCAM; Rodríguez-Álvarez, M.X.Autoridad BCAM (2017-12)
Recent advances in information technologies are generating a growth in the amount of available biomedical data. In this paper, we studied the impact sample size may have on the categorisation of a continuous predictor ...
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A new approach to categorize continuous variables in prediction models: Proposal and validation 

Barrio, I.; Arostegui, I.Autoridad BCAM; Rodríguez-Álvarez, M.X.Autoridad BCAM; Quintana, J.M. (2017-12)
When developing prediction models for application in clinical practice, health practitioners usually categorise clinical variables that are continuous in nature. Although categorisation is not regarded as advisable from ...
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Correcting for spatial heterogeneity in plant breeding experiments with P-splines 

Rodríguez-Álvarez, M.X.Autoridad BCAM; Boer, M.P.; van Eeuwijk, F.A.; Eilers, P.H.C. (2017-10-27)
An important aim of the analysis of agricultural field experiments is to obtain good predictions for genotypic performance, by correcting for spatial effects. In practice these corrections turn out to be complicated, since ...
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Rodríguez-Álvarez, M.X. (19)
Eilers, P.H.C. (8)Lee, D.-J. (6)Durban, M. (5)Arostegui, I. (3)Barrio, I. (3)Boer, M.P. (3)Roca-Pardinas, J. (3)Cadarso-Suárez, C. (2)Hund, A. (2)... másSubjectcategorisation (3)Adaptive Smoothing (2)cut point (2)P-splines (2)prediction models (2)Bayesian bootstrap (1)Bayesian hierarchical models (1)bootstrap (1)computer-aided diagnosis (1)Covariate-adjustment (1)... másFecha2022 (1)2021 (3)2020 (1)2018 (2)2017 (6)2016 (4)2015 (1)2014 (1)

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