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Información profesores completa
| Nombre | López Cheda, Ana |
| Área conocimiento | Estadística e investigación operativa |
| Categoría | Profesora permanente laboral (PPL-LOSU) |
| Dedicación | Total |
| Correo | ana.lopez.cheda@udc.es |
| Web personal | https://pdi.udc.es/es/File/Pdi/GJ85H |
| Grupo investigación | MODES |
Localizacion
| Centro | Campus | Teléfono | Extensión |
|---|---|---|---|
| Grupo MODES, Departamento de Matemáticas, CITIC | Elviña | +34.981.167.000 | 5513 |
Docencia
| Titulación(es) | Asignatura(s) |
|---|
Artículos publicados
- Daniel Garcia-Vicuña, Ana López-Cheda, María Amalia Jácome, Fermin Mallor.
Estimation of patient flow in hospitals using up-to-date data. Application to bed demand prediction during pandemic waves.
PLoS ONE, 0 (2023) , .
- Ana López-Cheda, Yingwei Peng, María Amalia Jácome.
Nonparametric estimation in mixture cure models with covariates.
Test, 32 (2023) , 467–49.
- Ana Ezquerro, Brais Cancela, López-Cheda, Ana López-Cheda.
On the reliability of machine learning models for survival analysis when cure is a possibility.
Mathematics, 11 (2023) , 19 , 4150.
- Beatriz Piñeiro-Lamas, Ana López-Cheda, Ricardo Cao, Laura Ramos-Alonso, Gabriel González-Barbeito, Cayetana Barbeito-Caamaño, Alberto Bouzas-Mosquera.
A cardiotoxicity dataset for breast cancer patients.
Scientific Data , 10 (2023) , 527.
- Maria Pedrosa-Laza, Ana Lopez-Cheda, Ricardo Cao.
Cure models to estimate time until hospitalization due to COVID-19.
Applied Intelligence, 52 (2022) , 794–807 .
- Ana López-Cheda, M. Amalia Jácome, Ignacio López-de-Ullibarri.
npcure: An R Package for Nonparametric Inference in Mixture Cure Models.
The R Journal, 13 (2021) , 1 , 21-41.
- Ana López-Cheda, María-Amalia Jácome, Ricardo Cao, Pablo M. De Salazar.
Estimating lengths-of-stay of hospitalized COVID-19 patients using a non-parametric model: a case study in Galicia (Spain).
Epidemiology and Infection, 149 (2021) , 102 , 1-8.
- Sara Soares, Ana López-Cheda, Ana Cristina Santos, Henrique Barros, Sílvia Fraga.
How do early socioeconomic circumstances impact inflammatory trajectories? Findings from Generation XXI.
Psychoneuroendocrinology , 119 (2020) , 104755.
- Ana López-Cheda, M. Amalia Jácome, Ingrid Van Keilegom, Ricardo Cao.
Nonparametric covariate hypothesis tests for the cure rate in mixture cure models.
Statistics in Medicine, 39 (2020) , 17 , 2291-2307.
- A. López-Cheda, R. Cao, M.A. Jácome, I. Van Keilegom.
Nonparametric incidence estimation and bootstrap bandwidth selection in mixture cure models.
Computational Statistics and Data Analysis, 105 (2017) , 144-165.
- A. López-Cheda, Maria Amalia Jácome, Ricardo Cao.
Nonparametric latency estimation for mixture cure models.
Test, 26 (2017) , 2 , 353-376.