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1. Nonparametric estimation of the cumulative incidences of competing risks under double truncation: (Publication); ... In this paper, we introduce nonparametric estimation for the cumulative incidences of competing risks when the incidence time is doubly truncated. Two different estimators are proposed depending on whether ...; Created on 21 January 2020
2. Testing for superiority between two variance functions: (Publication); This paper focuses on the problem of testing the null hypothesis that the variance functions of two populations are equal versus one-sided alternatives under a general nonparametric heteroscedastic regression ...; Created on 16 September 2019
3. A method for determining groups in multiple survival curves: (Publication); Survival analysis includes a wide variety of methods for analyzing time‐to‐event data. One basic but important goal in survival analysis is the comparison of survival curves between groups. Several nonparametric ...; Created on 23 August 2019
4. Testing critical points of nonparametric regression curves: application to the management of stalked barnacles ...: (Publication); Several aquatic living resources are overexploited. An example of this is a barnacle fishery, which is a commercial species that commands high prices in the market. We feel that not enough is known about ...; Created on 23 August 2019
5. A model specification test for the variance function in nonparametric regression ...: (Publication); The problem of testing for the parametric form of the conditional variance is considered in a fully nonparametric regression model. A test statistic based on a weighted L2-distance between the empirical ...; Created on 09 October 2018
6. A two-sample test for the error distribution in nonparametric regression based on the characteristic function ...: (Publication); A test for the equality of error distributions in two nonparametric regression models is proposed. The test statistic is based on comparing the empirical characteristic functions of the residuals calculated ...; Created on 09 October 2018
7. Bootstrap-based testing approaches for the assessment of the diagnostic accuracy of biomarkers subject to a limit of detection: (Publication); ... which are treated as censored observations. However, the latter seems to perform adequately well in our simulation study. Nonparametric bootstrap was consistently used throughout, while other bootstrap ...; Created on 09 October 2018
8. Bayesian nonparametric inference for the covariate-adjusted ROC curve ...: (Publication); 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 ...; Created on 10 October 2018
9. Efficient nonparametric confidence bands for receiver operating-characteristic curves ...: (Publication); ... there are only three R packages providing receiver operating-characteristic curve confidence regions: plotROC, pROC and fbroc. This work tries to fill this gap studying and proposing a new nonparametric ...; Created on 01 October 2018
10. Penalized profile least squares-based statistical inference for varying coefficient partially linear errors-in-variables models: (Publication); The purpose of this paper is two fold. First, we investigate estimation for varying coefficient partially linear models in which covariates in the nonparametric part are measured with errors. As there ...; Created on 01 October 2018
11. Asymptotic distribution-free tests for semiparametric regressions with dependent data: (Publication); This article proposes a new general methodology for constructing nonparametric and semiparametric Asymptotically Distribution-Free (ADF) tests for semiparametric hypotheses in regression models for possibly ...; Created on 22 May 2018
12. Bootstrap-based procedures for inference in nonparametric receiver-operating characteristic curve regression analysis ...: (Publication); ... we focus on an estimator for the covariate-specific receiver-operating characteristic curve based on direct regression modelling and nonparametric smoothing techniques. This approach defines the class ...; Created on 22 May 2018
13. Computationally Efficient Goodness-of-Fit Tests for the Error Distribution in Nonparametric Regression ...: (Publication); Several procedures have been proposed for testing goodness-of-fit to the error distribution in nonparametric regression models. The null distribution of the associated test statistics is usually approximated ...; Created on 14 May 2018
14. Nonparametric estimation of a distribution function from doubly truncated data under dependence: (Publication); The NPMLE of a distribution function from doubly truncated data was introduced in the seminal paper of Efron and Petrosian. The consistency of the Efron-Petrosian estimator depends however on the assumption ...; Created on 16 March 2018
15. Nonparametric Estimation of Transition Probabilities for a General Progressive Multi-State Model Under CrossSectional Sampling: (Publication); Nonparametric estimation of the transition probability matrix of a progressive multi-state model is consideredunder cross-sectional sampling. Two diﬀerent estimators adapted to possibly right-censored ...; Created on 20 February 2018
16. Quantile regression for partially linear varying-coefficient model with censoring indicators missing at random: (Publication); ... and imputation methods, a three-stage approach is proposed to construct the estimators of the linear part and the nonparametric varying-coefficient function for this model. At the same time, we discuss ...; Created on 24 January 2018
17. Determining optimum wavelengths for leaf water content estimation from reflectance: A distance correlation approach: (Publication); ... wavelengths (optimum wavelengths) from the continuous spectrum, which simplifies the regression problem. Finally, it compares the results to those obtained by means of two different methods: a nonparametric ...; Created on 24 January 2018
18. A weighted bootstrap approximation for comparing the error distributions in nonparametric regression ...: (Publication); Several procedures have been proposed for testing the equality of error distributions in two or more nonparametric regression models. Here we deal with methods based on comparing estimators of the cumulative ...; Created on 09 October 2018
19. Nonparametric estimation of an event-free survival distribution under cross-sectional sampling: (Publication); Created on 02 August 2018
20. 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
21. Semiparametric estimation of risk-return relationships: (Publication); ... studies using nonparametric estimates, we find a positive and significant price of risk in our semiparametric setting. ...; Created on 01 September 2017
22. condSURV: An R Package for the Estimation of the Conditional Survival Function for Ordered Multivariate Failure Time Data: (Publication); One major goal in clinical applications of time-to-event data is the estimation of survival with censored data. The usual nonparametric estimator of the survival function is the time-honored Kaplan-Meier ...; Created on 22 May 2018
23. Boostrap-based procedures for inference in nonparametric ROC regression analysis ...: (Publication); Created on 21 September 2017
24. Kaplan-Meier estimator in competing risk contexts: (Publication); Survival analysis has become in a common procedure in biomedical researches. Conventionally, the well-known nonparametric Kaplan-Meier (KM) estimator is used in order to approximate the real survivor curve. ...; Created on 18 September 2017
25. FWDselect: An R Package for Variable Selection in Regression Models: (Publication); ... procedure to select the best model in different regression frameworks (parametric or nonparametric). The developed methodology, which can be equally applied to linear models, generalized linear models ...; Created on 08 September 2017
26. 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
27. Boostrap-based procedures for inference in nonparametric ROC regression analysis ...: (Publication); ... In this paper, attention is focused on an estimator for the covariate-speciﬁc ROC curve based on direct regression modelling and nonparametric smoothing techniques. This approach deﬁnes the class of generalized ...; Created on 10 December 2016
28. Nonparametric estimation of the survival function for ordered multivariate failure time data: A comparative study: (Publication); ... the estimation of the survival function conditional to a previous event. Different nonparametric approaches will be considered for estimating these quantities, all based on the Kaplan–Meier estimator of ...; Created on 04 November 2016
29. Nonparametric estimation of time-dependent ROC curves conditional on a continuous covariate: (Publication); ... this work, we present new nonparametric estimators of the cumulative/dynamic time-dependent ROC curve that allow accounting for the possible modifying effect of current or past covariate measures on the ...; Created on 04 November 2016
30. Robust testing for superiority between two regression curves: (Publication); The problem of testing the null hypothesis that the regression functions of two populations are equal versus one-sided alternatives under a general nonparametric homoscedastic regression model is considered. ...; Created on 04 November 2016
31. 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
32. Nonparametric regression with doubly truncated data: (Publication); Nonparametric regression with a doubly truncated response is introduced. Local constant and local linear kernel-type estimators are proposed. Asymptotic expressions for the bias and the variance of the ...; Created on 23 October 2016
33. Nonparametric estimation of conditional transition probabilities in a non-Markov illness-death model: (Publication); One important goal in multi-state modeling is the estimation of transition probabilities. In longitudinal medical studies these quantities are particularly of interest since they allow for long-term predictions ...; Created on 04 September 2017
34. A Central Limit Theorem in Nonparametric Regression with Truncated, Censored and Dependent Data ...: (Publication); On the basis of the idea of the Nadaraya–Watson (NW) kernel smoother and the technique of the local linear (LL) smoother, we construct the NW and LL estimators of conditional mean functions and their derivatives ...; Created on 04 September 2017
35. Nonparametric estimation of transition probabilities in the non-Markov illness-death model: a comparative study: (Publication); Multi-state models are often used for modeling complex event history data. In these models the estimation of the transition probabilities is of particular interest, since they allow for long-term predictions ...; Created on 01 September 2017
36. TPmsm: Estimation of the transition probabilities in 3-state models: (Publication); One major goal in clinical applications of multi-state models is the estimation of transition probabilities. The usual nonparametric estimator of the transition matrix for non-homogeneous Markov processes ...; Created on 01 September 2017
37. Tests for the equality of conditional variance functions in nonparametric regression ...: (Publication); In this paper we are interested in checking whether the conditional variances are equal in k >= 2 location-scale regression models. Our procedure is fully nonparametric and is based on the comparison of ...; Created on 31 August 2017
38. A nonparametric ANOVA-type test for regression curves based on characteristic functions ...: (Publication); This article studies a new procedure to test for the equality of k regression curves in a fully non-parametric context. The test is based on the comparison of empirical estimators of the characteristic ...; Created on 31 August 2017
39. Nonparametric estimation of transition probabilities in the non-Markov illness-death model: a comparative study: (Publication); Created on 21 September 2017
40. Goodness-of-fit tests for a semiparametric model under random double truncation: (Publication); ... specification of the distribution function of the truncation times. This semiparametric estimator outperforms the nonparametric maximum likelihood estimator when the parametric information is correct, ...; Created on 04 September 2017
41. Nonparametric Regression Applied to Sea Urchin Growth: (Publication); Created on 04 December 2016
42. Presmoothing the Aalen-Johansen estimator in the illness-death model: (Publication); One major goal in clinical applications of multi-state models is the estimation of transition probabilities. The usual nonparametric estimator of the transition matrix for non-homogeneous Markov processes ...; Created on 04 September 2017
43. Bandwidth selection for the estimation of transition probabilities in the location-scale progressive three-state model: (Publication); ... and studies a feasible estimation method for the transition probabilities in a progressive three-state model. We assume that the vector of gap times satisfies a nonparametric location-scale regression ...; Created on 04 September 2017
44. Estimating a new suitable catch size for two clam species: Implications for shellfishery management: (Publication); ... two models: a classic allometric model and a nonparametric regression model based on local linear kernel smoothers. Additionally, first derivatives were used to estimate a minimum capture size for this ...; Created on 04 September 2017
45. Nonparametric and semiparametric estimation of a distribution function under random double truncation: (Publication); Created on 21 September 2017
46. Advances in survival data: parametric vs nonparametric truncation ...: (Publication); Created on 21 September 2017
47. Nonparametric regression with doubly truncated data: (Publication); Created on 21 September 2017
48. A nonparametric test for Markovianity in the illness-death model ...: (Publication); ... before the main event of interest. Nonparametric estimation of transition probabilities in this and other multistate models is usually performed through the Aalen–Johansen estimator under a Markov assumption. ...; Created on 08 September 2017
49. Terrestrial laser scanning used to detect asymmetries in boat hulls: (Publication); ... using a nonparametric regression method that permitted the construction of a continuous smooth surface. Asymmetries in cross-sections of the surface were identified using a bootstrap resampling technique ...; Created on 08 September 2017
50. Testing for one-sided alternatives in nonparametric censored regression ...: (Publication); Created on 08 September 2017