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1. Multiscale supervised classification of point clouds with urban and forest applications: (Publication); We analyze the utility of multiscale supervised classification algorithms for object detection and extraction from laser scanning or photogrammetric point clouds. Only the geometric information (the point ...; Created on 22 November 2019
2. Adjusting for bias introduced by instrumental variable estimation in the Cox proportional hazards model ...: (Publication); Instrumental variable (IV) methods are widely used for estimating average treatment effects in the presence of unmeasured confounders. However, the capability of existing IV procedures, and most notably ...; Created on 25 September 2019
3. Plug-in marginal estimation under a general regression model with missing responses and covariates: (Publication); In this paper, we consider a general regression model where missing data occur in the response and in the covariates. Our aim is to estimate the marginal distribution function and a marginal functional, ...; Created on 24 September 2019
4. Goodness-of-fit tests for quantile regression with missing responses: (Publication); Goodness–of–fit tests for quantile regression models, in the presence of missing observations in the response variable, are introduced and analyzed in this paper. The different proposals are based on the ...; Created on 19 September 2019
5. Adverse Events After Atherectomy: Analyzing Long‐Term Outcomes of Endovascular Lower Extremity Revascularization Techniques: (Publication); Background The long-term effectiveness of atherectomy treatment for peripheral arterial disease is unknown. We studied 5-year clinical outcomes by endovascular treatment type among patients with peripheral ...; Created on 22 August 2019
6. An instrumental variable procedure for estimating Cox models with non‐proportional hazards in the presence of unmeasured confounding ...: (Publication); Two‐stage instrumental variable methods are commonly used for estimating average causal effects in the presence of an unmeasured confounder. In the context of the proportional hazard Cox regression models, ...; Created on 22 August 2019
7. External Validation and Recalculation of the CODEX Index in COPD Patients. A 3CIAplus Cohort Study: (Publication); The CODEX index was developed and validated in patients hospitalized for COPD exacerbation to predict the risk of death and readmission within one year after discharge. Our study aimed to validate the ...; Created on 22 August 2019
8. A hybrid ARIMA–SVM model for the study of the remaining useful life of aircraft engines: (Publication); In this research, an algorithm is presented for predicting the remaining useful life (RUL) of aircraft engines from a set of predictor variables measured by several sensors located in the engine. RUL prediction ...; Created on 10 October 2018
9. A quantile regression model for bounded responses based on the exponential-geometric distribution: (Publication); The paper first introduces a new two-parameter continuous probability distribution with bounded support from the extended exponential-geometric distribution. Closed- form expressions are given for the ...; Created on 09 October 2018
10. Estimation of the finite population distribution function using a global Estimation of the finite population distribution function using a global penalized calibration method: (Publication); Auxiliary information x is commonly used in survey sampling at the estimation stage. We propose an estimator of the finite population distribution function Fy(t) when x is available for all units in ...; Created on 09 October 2018
11. Bootstrap-based testing approaches for the assessment of the diagnostic accuracy of biomarkers subject to a limit of detection: (Publication); Assessment of the diagnostic accuracy of biomarkers through receiver operating characteristic curve analysis frequently involves a limit of detection imposed by the laboratory analytical system precision. ...; Created on 09 October 2018
12. Percentile curves and reference values for 2000-m rowing ergometer performance time in international rowers aged 14-70 years: (Publication); The aim of this study was to provide percentile curves and reference values for the performance in 2000-m maximal effort on rowing ergometer. A cross-sectional study was carried out with a non-probabilistic ...; Created on 11 October 2018
13. Injury prediction in aerobic gymnastics based on anthropometric variables: (Publication); Objective Use logistic regression to determine a mathematical model which is able to predict injuries in aerobic gymnastics (AG) athletes, according to certain anthropometric characteristics. Subjects ...; Created on 11 October 2018
14. nsROC: An R package for non-standard ROC curve analysis: (Publication); The receiver operating characteristic (ROC) curve is a graphical method which has become standard in the analysis of diagnostic markers, that is, in the study of the classiﬁcation ability of a numerical ...; Created on 10 October 2018
15. Penalized empirical likelihood for quantile regression with missing covariates and auxiliary information: (Publication); Based on the inverse probability weight method, we, in this article, construct the empirical likelihood (EL) and penalized empirical likelihood (PEL) ratios of the parameter in the linear quantile regression ...; Created on 01 October 2018
16. Improving stability of prediction models based on correlated omics data by using network approaches: (Publication); Building prediction models based on complex omics datasets such as transcriptomics, proteomics, metabolomics remains a challenge in bioinformatics and biostatistics. Regularized regression techniques are ...; Created on 22 May 2018
17. Smooth time-dependent receiver operating characteristic curve estimators: (Publication); The receiver operating characteristic curve is a popular graphical method often used to study the diagnostic capacity of continuous (bio)markers. When the considered outcome is a time-dependent variable, ...; Created on 22 May 2018
18. An extension of Feller's strong law of large numbers: (Publication); This paper presents a general result that allows for establishing a link between the Kolmogorov-Marcinkiewicz-Zygmund strong law of large numbers and Feller's strong law of large numbers in a Banach space ...; Created on 22 May 2018
19. On the estimation of the characteristic function in finite populations with applications: (Publication); This paper studies the estimation of the characteristic function of a finite population. Specifically, the weak convergence of the finite population empirical characteristic process is studied. Under suitable ...; Created on 14 May 2018
20. Placing joint orders when holding costs are negligible and shortages are not allowed: (Publication); In this paper we analyse multi-agent inventory systems where each agent has a deterministic demand and a capacitated warehouse with constant holding costs. Additionally, shortages are not allowed, the ...; Created on 16 February 2018
21. Quantile regression for partially linear varying-coefficient model with censoring indicators missing at random: (Publication); In this paper, we focus on the partially linear varying-coefficient quantile regression model when the data are right censored and the censoring indicator is missing at random. Based on the calibration ...; Created on 24 January 2018
22. A weighted estimator of conditional hazard rate with left-truncated and dependent data: (Publication); Based on empirical likelihood method, we construct new weighted estimators of conditional density and conditional survival functions when the interest random variable is subject to random left-truncation; ...; Created on 24 January 2018
23. Determining optimum wavelengths for leaf water content estimation from reflectance: A distance correlation approach: (Publication); This paper proposes a method to estimate leaf water content from reflectance in four commercial vineyard varieties by estimating the local maxima of a distance correlation function. First, it applies four ...; Created on 24 January 2018
24. Sample Size Impact on the Categorisation of Continuous Variables in Clinical Prediction: (Publication); 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 ...; Created on 10 October 2018
25. Sample Size Impact on the Categorisation of Continuous Variables in Clinical Prediction: (Publication); 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 ...; Created on 10 October 2018
26. Adjusting for bias introduced by instrumental variable estimation in the Cox proportional hazards model ...: (Publication); Instrumental variable (IV) methods are widely used for estimating average treatment effects in the presence of unmeasured confounders. However, the capability of existing IV procedures, and most notably ...; Created on 10 October 2018
27. A new approach to categorising continuous variables in prediction models: Proposal and validation: (Publication); 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 ...; Created on 22 May 2018
28. Hypothesis test on response mean with inequality constraints under data missing when covariables are present: (Publication); This paper addresses the problem of hypothesis test on response mean with various inequality constraints in the presence of covariates when response data are missing at random. The various hypotheses include ...; Created on 22 May 2018
29. Copula-graphic estimation with left-truncated and right-censored data: (Publication); In Survival Analysis and related fields of research right-censored and left-truncated data often appear. Usually, it is assumed that the right-censoring variable is independent of the lifetime of ultimate ...; Created on 23 January 2018
30. Comparison of two discrimination indexes in the categorisation of continuous predictors in time-to-event studies: (Publication); The Cox proportionalhazards model is the most widely used survival predictionmodel for analysing time-to-event data. To measure the discrimination ability of a survival model the concordance probability ...; Created on 18 September 2017
31. Sample size impact on the categorisation of continuous variables in clinical predictions: (Publication); 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 ...; Created on 18 September 2017
32. npregfast: an R package for nonparametric estimation and inference in life sciences: (Publication); We present the R npregfast package via some applications involved with the study of living organisms. The package implements nonparametric estimation procedures in regression models with or without factor-by-curve ...; Created on 18 September 2017
33. FWDselect: An R Package for Variable Selection in Regression Models: (Publication); In multiple regression models, when there are a large number (p) of explanatory variables which may or may not be relevant for predicting the response, it is useful to be able to reduce the model. To this ...; Created on 08 September 2017
34. Penalized empirical likelihood for high-dimensional partially linear varying coefficient model with measurement errors: (Publication); For the high-dimensional partially linear varying coefficient models where covariates in the nonparametric part are measured with additive errors, we, in this paper, study asymptotic distributions of a ...; Created on 08 September 2017
35. A note on the Log-Lindley distribution: (Publication); The Log-Lindley distribution is a continuous probability model with useful applications in insurance and inventory management. In this note, it is proven that pseudo-random data from this model can be ...; Created on 18 January 2017
36. Cumulative/dynamic ROC curve estimation: (Publication); Receiver operating-characteristic (ROC) curve is a popular graphical method frequently used in order to study the diagnostic capacity of continuous (bio)markers. When the considered outcome is a time-dependent ...; Created on 04 November 2016
37. Model checks for nonparametric regression with missing data: a comparative study: (Publication); This paper analyses the behaviour of the goodness-of-fit tests for regression models. To this end, it uses statistics based on an estimation of the integrated regression function with missing observations ...; Created on 04 November 2016
38. Merkel cell carcinoma and Merkel cell polyomavirus: a systematic review and meta-analysis: (Publication); Several observational studies have assessed the correlation between Merkel cell carcinoma and Merkel cell polyomavirus with variable results. The objective of this systematic review was to determine whether ...; Created on 01 September 2017
39. Do auditors make mistakes when they write audit reports? An empiral study applied to Spanish non-listed firms: (Publication); The objective of this paper is to analyse whether auditors comply with the standards currently in force when writing audit reports in Spain. We try to obtain evidence for the relationship of the errors ...; Created on 01 September 2017
40. On the Muth Distribution: (Publication); The Muth distribution is a continuous random variable introduced in the context of reliability theory. In this paper, some mathematical properties of the model are derived, including analytical expressions ...; Created on 31 August 2017
41. Goodness-of-fit tests for a semiparametric model under random double truncation: (Publication); Doubly truncated data are commonly encountered in areas like medicine, astronomy, economics, among others. A semiparametric estimator of a doubly truncated random variable may be computed based on a parametric ...; Created on 04 September 2017
42. Predicting SO2 pollution incidents by means of additive models with optimum variable selection: (Publication); The aim of this paper is to predict time series of SO2 concentrations emitted by coal-fired power stations in order to estimate in advance emission episodes and analyze the influence of some meteorological ...; Created on 04 September 2017
43. Generalized copula-graphic estimator with left-truncated and right-censored data: (Publication); In this paper a copula-graphic estimator is proposed for left-truncated and right-censored survival data. It is assumed that there is some dependent censoring acting on the variable of interest, which ...; Created on 03 December 2016
44. Generalized copula-graphic estimator: (Publication); In this paper, a copula-graphic estimator is proposed for censored survival data. It is assumed that there is some dependent censoring acting on the variable of interest that may come from an existing ...; Created on 14 January 2019
45. Flexible quantile regression models: application to the study of the purple sea urchin: (Publication); In many applications, it is often of interest to assess the possible relationships between covariates and quantiles of a response variable through a regression model. In some instances, the effects of ...; Created on 04 September 2017
46. Variable selection in regression models used to analyse Global Positioning System accuracy in forest environments: (Publication); Reliable information on the geographic location of individual points using GPS (Global Positioning System) receivers requires an unobstructed line of sight from the points to a minimum of four satellites. ...; Created on 08 September 2017
47. Kernel density estimation with doubly truncated data: (Publication); In some applications with astronomical and survival data, doubly truncated data are sometimes encountered. In this work we introduce kernel-type density estimation for a random variable which is sampled ...; Created on 08 September 2017
48. An R Package For Analyzing Factor‐By‐Curve Interactions: (Publication); Analysis of such studies can be successfully performed using nonparametric regression models. In the nonparametric regression framework, issues of interest include the so‐called factor‐by‐curve interaction, ...; Created on 21 September 2017
49. An R Package For Analyzing Factor‐By‐Curve Interactions: (Publication); Analysis of such studies can be successfully performed using nonparametric regression models. In the nonparametric regression framework, issues of interest include the so‐called factor‐by‐curve interaction, ...; Created on 08 September 2017