Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Gianfranco Adimari"'
Publikováno v:
Revstat Statistical Journal, Vol 18, Iss 5 (2020)
Verification bias is a well known problem that can affect the statistical evaluation of the predictive ability of a diagnostic test when the true disease status is unknown for some of the patients under study. In this paper, we deal with the assessme
Externí odkaz:
https://doaj.org/article/f3dfb98a9ffb4376b225a98c2b67b854
Autor:
Gianfranco Adimari
Publikováno v:
Statistica, Vol 66, Iss 1, Pp 39-49 (2013)
Following an idea by Jing et al. (2005), this paper combines the empirical likelihood for the mean functional with jackknife pseudo-values obtained from the Mann-Witney two-sample statistic. This leads to a pseudo-likelihood L(p) for the area p0 unde
Externí odkaz:
https://doaj.org/article/97ddca079d9d4c7e91062534219045b3
Statistical evaluation of diagnostic tests, and, more generally, of biomarkers, is a constantly developing field, in which complexity of the assessment increases with the complexity of the design under which data are collected. One particularly preva
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bac6549542e582f1344c30ff2a98a01d
https://hdl.handle.net/11577/3420114
https://hdl.handle.net/11577/3420114
Publikováno v:
Duc-Khanh, To
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b34a98370be7385befc2827974213756
http://hdl.handle.net/11577/3455373
http://hdl.handle.net/11577/3455373
Publikováno v:
Duc-Khanh, To
We tackle estimation of receiver operating characteristic (ROC) surfaces and selection of the optimal pair of thresholds for continuous diagnostic tests given covariates in clustered data when the disease status is described by three ordinal classes.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d3b5a887f38771f7f1935cc8782f2995
http://hdl.handle.net/11577/3356127
http://hdl.handle.net/11577/3356127
We comment here on a recent paper in this journal, on a non-monotone transformation of biomarkers aimed at improving diagnostic accuracy. We highlight that, in a binary classification problem, the proposed transformation finds its motivation in the N
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97362d1666b2fc325c3d1864a635457a
http://hdl.handle.net/11585/817546
http://hdl.handle.net/11585/817546
Autor:
Andrea Sinigaglia, Gianfranco Adimari
Publikováno v:
Biometrical journal. Biometrische ZeitschriftREFERENCES. 62(6)
In medical research, diagnostic tests with continuous values are widely employed to attempt to distinguish between diseased and non-diseased subjects. The diagnostic accuracy of a test (or a biomarker) can be assessed by using the receiver operating
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3147f21af9dc10746bfdb44dac880765
https://pubmed.ncbi.nlm.nih.gov/32232869
https://pubmed.ncbi.nlm.nih.gov/32232869
Autor:
Monica Chiogna, Gianfranco Adimari
For a continuous-scale diagnostic test, the area under the receiver operating characteristic curve (AUC) is a popular summary measure to assess the ability of the test to discriminate between healthy and diseased subjects. In some studies, verificati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a1ddca91eec582ea9a80b1567132ce3
http://hdl.handle.net/11577/3261710
http://hdl.handle.net/11577/3261710
The volume under the receiver operating characteristic surface (VUS) is useful for measuring the overall accuracy of a diagnostic test when the possible disease status belongs to one of three ordered categories. In medical studies, the VUS of a new t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd856e3b15e266c12bd48a9bb028994b
Autor:
Gianfranco Adimari, Nicola Lunardon
Recently, a technique based on pseudo-observations has been proposed to tackle the so-called convex hull problem for the empirical likelihood statistic. The resulting adjusted empirical likelihood also achieves the high-order precision of the Bartlet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cde9af33d28b91cadef0e7af646e9c46
http://hdl.handle.net/11577/3190717
http://hdl.handle.net/11577/3190717