Zobrazeno 1 - 9 of 9 pro vyhledávání: '"Vanda Inacio de Carvalho"'
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Bayesian semiparametric modeling for HIV longitudinal data with censoring and skewness
Autor: Victor H. Lachos, Cristian L. Bayes, Luis M. Castro, Wan-Lun Wang, Vanda Inacio de Carvalho
Publikováno v: Castro, L M, Wang, W-L, Lachos, V H, Calhau Fernandes Inacio De Carvalho, V & Bayes, C L 2019, ' Bayesian semiparametric modeling for HIV longitudinal data with censoring and skewness ', Statistical Methods in Medical Research, vol. 28, no. 5, pp. 1457-1476 . https://doi.org/10.1177/0962280218760360
In biomedical studies, the analysis of longitudinal data based on Gaussian assumptions is common practice. Nevertheless, more often than not, the observed responses are naturally skewed, rendering the use of symmetric mixed effects models inadequate.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d502905c0e6026099982411ee6285d1
https://www.pure.ed.ac.uk/ws/files/57625579/SkewNormalCenSemiPar.pdf
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3
Bayesian Nonparametric Spatially Smoothed Density Estimation
Autor: Haiming Zhou, Timothy Hanson, Vanda Inacio de Carvalho
Publikováno v: Hanson, T, Zhou, H & Calhau Fernandes Inacio De Carvalho, V 2018, Bayesian Nonparametric Spatially Smoothed Density Estimation . in Y Zhao & DG Chen (eds), New Frontiers of Biostatistics and Bioinformatics . ICSA Book Series in Statistics, Springer International Publishing AG, pp. 87-105 . https://doi.org/10.1007/978-3-319-99389-8_4
New Frontiers of Biostatistics and Bioinformatics ISBN: 9783319993881
A Bayesian nonparametric density estimator that changes smoothly in space is developed. The estimator is built using the predictive rule from a marginalized Polyatree, modified so that observations are spatially weighted by their distance from theloc
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b9f094d9af8b6de99ceff5c58760a79
https://www.pure.ed.ac.uk/ws/files/58340262/SpatialDensity_revised_002_.pdf
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5
Bayesian nonparametric inference for the three-class Youden index and its associated optimal cutoff points
Autor: Vanda Inacio de Carvalho, Adam J. Branscum
Publikováno v: Inácio de Carvalho, V & Branscum, A J 2018, ' Bayesian nonparametric inference for the three-class Youden index and its associated optimal cut-points ', Statistical Methods in Medical Research, vol. 27, no. 3, pp. 689-700 . https://doi.org/10.1177/0962280217742538
The three-class Youden index serves both as a measure of medical test accuracy and a criterion to choose the optimal pair of cutoff values for classifying subjects into three ordinal disease categories (e.g. no disease, mild disease, advanced disease
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f1f5fab9d2740650e56fcf9143143cc
https://pubmed.ncbi.nlm.nih.gov/29241400
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6
Nonparametric Bayesian covariate-adjusted estimation of the Youden index
Autor: Vanda Inacio de Carvalho, Miguel de Carvalho, Adam J. Branscum
Publikováno v: Calhau Fernandes Inacio De Carvalho, V, de Carvalho, M & Branscum, A J 2017, ' Nonparametric Bayesian covariate-adjusted estimation of the Youden index ', Biometrics, vol. 73, no. 4, pp. 1279-1288 . https://doi.org/10.1111/biom.12686
A novel nonparametric regression model is developed for evaluating the covariate-specific accuracy of a continuous biological marker. Accurately screening diseased from nondiseased individuals and correctly diagnosing disease stage are critically imp
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a579921c24cae443799e9e46102d64a
https://www.pure.ed.ac.uk/ws/files/30328625/Nonparametric_Bayesian_covariate_adjusted_estimation_of_the_Youden_index.pdf
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7
Functional covariate-adjusted partial area under the specificity-ROC curve with an application to metabolic syndrome diagnosis
Autor: W. González-Manteiga, T. A. Alonzo, Miguel de Carvalho, Vanda Inacio de Carvalho
Publikováno v: Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
instname
Calhau Fernandes Inacio De Carvalho, V, de Carvalho, M, Alonzo, T A & González-Manteiga, W 2016, ' Functional Covariate-Adjusted Partial Area under the Specificity-ROC Curve with an Application to Metabolic Syndrome Diagnosis ', Annals of Applied Statistics, vol. 10, no. 3, pp. 1472-1495 . https://doi.org/10.1214/16-AOAS943
Ann. Appl. Stat. 10, no. 3 (2016), 1472-1495
Due to recent advances in technology, medical diagnosis data are becoming increasingly complex and, nowadays, applications where measurements are curves or images are ubiquitous. Motivated by the need of modeling a functional covariate on a metabolic
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49ef30c7690fd3e429c00ab8bbff46c4
https://doi.org/10.1214/16-aoas943
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8
Bayesian Nonparametric Approaches for ROC Curve Inference
Autor: Alejandro Jara, Vanda Inacio de Carvalho, Miguel de Carvalho
Publikováno v: Nonparametric Bayesian Inference in Biostatistics ISBN: 9783319195179
The development of medical diagnostic tests is of great importance in clinical practice, public health, and medical research. The receiver operating characteristic (ROC) curve is a popular tool for evaluating the accuracy of such tests. We review Bay
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2817b408aadfb20f0a6ca57e627b3524
https://doi.org/10.1007/978-3-319-19518-6_16
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9
Bayesian Nonparametric ROC Regression Modeling
Autor: Timothy Hanson, Miguel de Carvalho, Vanda Inacio de Carvalho, Alejandro Jara
Publikováno v: Bayesian Anal. 8, no. 3 (2013), 623-646
BAYESIAN ANALYSIS
Artículos CONICYT
CONICYT Chile
instacron:CONICYT
Calhau Fernandes Inacio De Carvalho, V, Jara, A, Hanson, T E & de Carvalho, M 2013, ' Bayesian Nonparametric ROC Regression Modeling ', Bayesian analysis, vol. 8, no. 3, pp. 623-646 . https://doi.org/10.1214/13-BA825
The receiver operating characteristic (ROC) curve is the most widely used measure for evaluating the discriminatory performance of a continuous biomarker. Incorporating covariates in the analysis can potentially enhance information gath- ered from th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6f6e7b31d23571e79ff82a70d1680c4
http://projecteuclid.org/euclid.ba/1378729922
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