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Carmen Cadarso-Suárez
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2020 – today
- 2022
- [j19]Juan A. Arias-López, Carmen Cadarso-Suárez, Pablo Aguiar-Fernández:
Functional Data Analysis for Imaging Mean Function Estimation: Computing Times and Parameter Selection. Comput. 11(6): 91 (2022) - [j18]Oscar Lado-Baleato, Javier Roca-Pardiñas, Carmen Cadarso-Suárez, Francisco Gude:
Refreg: An R Package for Estimating Conditional Reference Regions. R J. 14(2): 136-152 (2022) - 2021
- [c5]Carla Díaz-Louzao, Oscar Lado-Baleato, Francisco Gude, Carmen Cadarso-Suárez:
Multivariate Conditional Transformation Models. Application to Thyroid-Related Hormones. ICCSA (1) 2021: 341-351 - [c4]Juan A. Arias-López, Carmen Cadarso-Suárez, Pablo Aguiar-Fernández:
Computational Issues in the Application of Functional Data Analysis to Imaging Data. ICCSA (2) 2021: 630-638
2010 – 2019
- 2018
- [j17]Laura Ríos-Pena, Thomas Kneib, Carmen Cadarso-Suárez, Nadja Klein, Manuel Marey-Pérez:
Studying the occurrence and burnt area of wildfires using zero-one-inflated structured additive beta regression. Environ. Model. Softw. 110: 107-118 (2018) - 2017
- [j16]Mónica López-Ratón, Elisa M. Molanes-Lopez, Emilio Letón, Carmen Cadarso-Suárez:
GsymPoint: An R Package to Estimate the Generalized Symmetry Point, an Optimal Cut-off Point for Binary Classification in Continuous Diagnostic Tests. R J. 9(1): 262 (2017) - [c3]Elisa Duarte, Bruno de Sousa, Carmen Cadarso-Suárez, Jenifer Espasandín-Domínguez, Oscar Lado-Baleato, Giampiero Marra, Rosalba Radice, Vitor Rodrigues:
Applying Spatial Copula Additive Regression to Breast Cancer Screening Data. ICCSA (2) 2017: 586-599 - [c2]Ipek Guler, Christel Faes, Francisco Gude, Carmen Cadarso-Suárez:
Assessing the Predictive Performance of Survival Models with Longitudinal Data. ICCSA (2) 2017: 621-631 - 2014
- [c1]Ipek Guler, Laura Calaza-Díaz, Christel Faes, Carmen Cadarso-Suárez, Elena Giraldez, Francisco Gude:
Joint Modelling for Longitudinal and Time-to-Event Data: Application to Liver Transplantation Data. ICCSA (3) 2014: 580-593 - 2013
- [j15]Luís Meira-Machado, Carmen Cadarso-Suárez, Francisco Gude, Artur Araújo:
smoothHR: An R Package for Pointwise Nonparametric Estimation of Hazard Ratio Curves of Continuous Predictors. Comput. Math. Methods Medicine 2013: 745742:1-745742:11 (2013) - [j14]Luís Meira-Machado, Javier Roca-Pardiñas, Ingrid Van Keilegom, Carmen Cadarso-Suárez:
Bandwidth selection for the estimation of transition probabilities in the location-scale progressive three-state model. Comput. Stat. 28(5): 2185-2210 (2013) - [j13]Francisco Reyes Santías, Carmen Cadarso-Suárez, Adela Martínez-Calvo:
Applying a simulation model in order to manage waiting lists for hospital inpatient activity in an EU region. Math. Comput. Model. 57(7-8): 1840-1846 (2013) - 2011
- [j12]María Xosé Rodríguez-Álvarez, Pablo G. Tahoces, Carmen Cadarso-Suárez, María José Lado:
Comparative study of ROC regression techniques - Applications for the computer-aided diagnostic system in breast cancer detection. Comput. Stat. Data Anal. 55(1): 888-902 (2011) - [j11]María Xosé Rodríguez-Álvarez, Javier Roca-Pardiñas, Carmen Cadarso-Suárez:
A new flexible direct ROC regression model: Application to the detection of cardiovascular risk factors by anthropometric measures. Comput. Stat. Data Anal. 55(12): 3257-3270 (2011) - [j10]Francisco Reyes Santías, Carmen Cadarso-Suárez, María Xosé Rodríguez-Álvarez:
Estimating hospital production functions through flexible regression models. Math. Comput. Model. 54(7-8): 1760-1764 (2011) - [j9]María Xosé Rodríguez-Álvarez, Javier Roca-Pardiñas, Carmen Cadarso-Suárez:
ROC curve and covariates: extending induced methodology to the non-parametric framework. Stat. Comput. 21(4): 483-499 (2011)
2000 – 2009
- 2008
- [j8]María J. Lado, Carmen Cadarso-Suárez, Javier Roca-Pardiñas, Pablo G. Tahoces:
Categorical variables, interactions and generalized additive models. Applications in computer-aided diagnosis systems. Comput. Biol. Medicine 38(4): 475-483 (2008) - [j7]Javier Roca-Pardiñas, Carmen Cadarso-Suárez, Pablo G. Tahoces, María J. Lado:
Assessing continuous bivariate effects among different groups through nonparametric regression models: An application to breast cancer detection. Comput. Stat. Data Anal. 52(4): 1958-1970 (2008) - [j6]Ignacio López-de-Ullibarri, Ricardo Cao, Carmen Cadarso-Suárez, María J. Lado:
Nonparametric estimation of conditional ROC curves: Application to discrimination tasks in computerized detection of early breast cancer. Comput. Stat. Data Anal. 52(5): 2623-2631 (2008) - 2007
- [j5]Luís Meira-Machado, Carmen Cadarso-Suárez, Jacobo de Uña-Álvarez:
tdc.msm: An R library for the analysis of multi-state survival data. Comput. Methods Programs Biomed. 86(2): 131-140 (2007) - 2006
- [j4]María J. Lado, Carmen Cadarso-Suárez, Javier Roca-Pardiñas, Pablo G. Tahoces:
Using Generalized Additive Models for Construction of Nonlinear Classifiers in Computer-Aided Diagnosis Systems. IEEE Trans. Inf. Technol. Biomed. 10(2): 246-253 (2006) - 2005
- [j3]Javier Roca-Pardiñas, Carmen Cadarso-Suárez, Wenceslao González-Manteiga:
Testing for interactions in generalized additive models: Application to SO2 pollution data. Stat. Comput. 15(4): 289-299 (2005) - 2003
- [j2]Marc Saez, Carmen Cadarso-Suárez, Adolfo Figueiras:
np.OR: an S-Plus function for pointwise nonparametric estimation of odds-ratios of continuous predictors. Comput. Methods Programs Biomed. 71(2): 175-179 (2003) - 2001
- [j1]Julián Costa-Bouzas, B. Takkouche, Carmen Cadarso-Suárez, Donna Spiegelman:
HEpiMA: software for the identification of heterogeneity in meta-analysis. Comput. Methods Programs Biomed. 64(2): 101-107 (2001)
Coauthor Index
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