Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Gabriel Escarela"'
Autor:
Alejandro Román Vásquez, Gabriel Escarela, Hortensia Josefina Reyes-Cervantes, Gabriel Núñez-Antonio
Publikováno v:
International Journal of Mathematics and Mathematical Sciences, Vol 2024 (2024)
Decisions regarding competing risks are usually based on a continuous-valued marker toward predicting a cause-specific outcome. The classification power of a marker can be summarized using the time-dependent receiver operating characteristic curve an
Externí odkaz:
https://doaj.org/article/fbca68d841ef4108881960d85597cfe3
Autor:
Alejandro Román Vásquez, José Ulises Márquez Urbina, Graciela González Farías, Gabriel Escarela
Publikováno v:
Computational Statistics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a1673a9cd583333ad676b21ff3ab89d
https://doi.org/10.1007/s00180-023-01346-4
https://doi.org/10.1007/s00180-023-01346-4
Publikováno v:
Breast Cancer: Basic and Clinical Research, Vol 11 (2017)
Background: Research into long-term cause-specific mortality of women diagnosed with breast cancer is important because it allows for the splitting of the population into patients who eventually die from breast cancer and from other causes. The adopt
Externí odkaz:
https://doaj.org/article/c26f3819951349f0a92b0ba22a29230d
Autor:
Gabriel Escarela, Alejandro Román Vásquez, Graciela González-Farías, José Ulises Márquez-Urbina
Publikováno v:
Statistical Methods in Medical Research. :096228022311675
The discriminative and predictive power of a continuous-valued marker for survival outcomes can be summarized using the receiver operating characteristic and predictiveness curves, respectively. In this paper, fully parametric and semi-parametric cop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8e1100565b3d8bca3a6adf8d6987875
https://doi.org/10.1177/09622802231167588
https://doi.org/10.1177/09622802231167588
Autor:
GABRIEL ESCARELA, ANGÉLICA HERNÁNDEZ
Publikováno v:
Revista Colombiana de Estadística, Vol 32, Iss 1, Pp 33-58 (2009)
Las cópulas se han convertido en una herramienta útil para el modelado multivariado tanto estocástico como estadístico. En este artículo se revisan propiedades fundamentales de las cópulas que permitan caracterizar la estructura de dependencia
Externí odkaz:
https://doaj.org/article/7c48e30d08a34fd390658ead124e9c30
Autor:
Alejandro R. Vásquez, Gabriel Escarela
Publikováno v:
Communications in Statistics - Theory and Methods. 50:2831-2847
Copula-based constructions of the joint distribution of the overall survival time and the cause-specific failure are developed for the analysis of competing risks data. Covariate effects are incorp...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11b9f4089f9289a608d80e0ab1c3e132
https://doi.org/10.1080/03610926.2019.1676447
https://doi.org/10.1080/03610926.2019.1676447
Publikováno v:
Journal of Applied Statistics. 45:2741-2759
Missing covariates data is a common issue in generalized linear models (GLMs). A model-based procedure arising from properly specifying joint models for both the partially observed covariat...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe9a6fdcc67dfef02e0ba806d2552ed6
https://doi.org/10.1080/02664763.2018.1438376
https://doi.org/10.1080/02664763.2018.1438376
Publikováno v:
Statistics in medicineReferences. 39(28)
Receiver operating characteristic (ROC) and predictiveness curves are graphical tools to study the discriminative and predictive power of a continuous-valued marker in a binary outcome. In this paper, a copula-based construction of the joint density
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::781ea0f62b72fcaa57d52f7cca5ed149
https://pubmed.ncbi.nlm.nih.gov/32929756
https://pubmed.ncbi.nlm.nih.gov/32929756
Publikováno v:
Statistical Methods in Medical Research. 25:1579-1595
Competing risks arise in medical research when subjects are exposed to various types or causes of death. Data from large cohort studies usually exhibit subsets of regressors that are missing for some study subjects. Furthermore, such studies often gi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d834ac5243aa08ce0aac3a1a977512a1
https://doi.org/10.1177/0962280213492406
https://doi.org/10.1177/0962280213492406
Publikováno v:
Computational Statistics & Data Analysis. 143:106842
Clustering complex circular phenomena is a common problem in different scientific disciplines. Examples include the clustering of directions of animal movement in the wild to identify migration patterns, and the classification of angular positions of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed3748123ab321f1b5481bca74b5bbf0
https://doi.org/10.1016/j.csda.2019.106842
https://doi.org/10.1016/j.csda.2019.106842