Bilatu
51-tik 1-10 emaitza erakusten
Modelling species presence–absence in the ecological niche theory framework using shape-constrained generalized additive models
(Ecological Modelling, 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 ...
A General Framework for Prediction in Generalized Additive Models
(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 ...
Bayesian hierarchical modelling of growth curve derivatives via sequences of quotient differences
(Journal of the Royal Statistical Society: Series C (Applied Statistics), 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 ...
Predictive factors over time of health-related quality of life in chronic obstructive pulmonary disease patients
(Respiratory Research, 2020-01)
Background: Health-related quality of life (HRQoL) should be seen as a tool that provides an overall view of the general clinical condition of a COPD patient. The aims of this study were to identify variables associated ...
Anxiety and depressive symptoms are related to core symptoms, general helath outcome and medical comorbidities in eating disorders
(European Eating Disorders Review, 2019-04)
Objective: The goal of this study is to identify potential factors that have a significant effect on anxiety and depression of patients with eating disorders (ED) using the beta-binomial regression (BBR) approach on a broad ...
Poisson excess relative risk models: New implementations and software
(SORT, 2019-03-01)
Two new implementations for fitting Poisson excess relative risk methods are proposed for assumed simple models. This allows for estimation of the excess relative risk associated with a unique exposure, where the background ...
Robust combination of the Morris and Sobol methods in complex multidimensional models
(Environmental Modelling and Software, 2019)
Conducting global sensitivity analysis using variance decomposition methods in complex simulation models
with many input factors is usually unaffordable. An alternative is to first apply a screening method to reduce
the ...
COPD classification models and mortality prediction capacity
(International Journal of COPD, 2019)
Our aim was to assess the impact of comorbidities on existing COPD prognosis scores.
Patients and methods: A total of 543 patients with COPD (FEV1 < 80% and FEV1/ FVC <70%) were included between January 2003 and January ...
idmTPreg: Regression Model for Progressive Illness Death Data
(The R Journal, 2018-12-01)
The progressive illness-death model is frequently used in medical applications. For example, the model may be used to describe the disease process in cancer studies. We have developed a new R package called idmTPreg to ...
A statistical framework for radiation dose estimation with uncertainty quantification from the γ-H2AX assay
(PLoS ONE, 2018-11-28)
Over the last decade, the γ–H2AX focus assay, which exploits the phosphorylation of the H2AX histone following DNA double–strand–breaks, has made considerable progress towards acceptance as a reliable biomarker for exposure ...