| Fitting competing risks with an assumed copula G Escarela, JF Carriere Statistical Methods in Medical Research 12 (4), 333-349, 2003 | 170 | 2003 |
| Competing risks, persistence, and desistance in analyzing recidivism G Escarela, B Francis, K Soothill Journal of Quantitative criminology 16, 385-414, 2000 | 47 | 2000 |
| A Bayesian regression model for circular data based on the projected normal distribution G Nuñez-Antonio, E Gutiérrez-Peña, G Escarela Statistical Modelling 11 (3), 185-201, 2011 | 38 | 2011 |
| A flexible class of parametric transition regression models based on copulas: application to poliomyelitis incidence G Escarela, RH Mena, A Castillo-Morales Statistical Methods in Medical Research 15 (6), 593-609, 2006 | 26 | 2006 |
| White-collars and black sheep: A twenty-year criminological follow-up of white-collar ex-offenders K Soothill, B Francis, G Escarela Australian & New Zealand Journal of Criminology 32 (3), 303-314, 1999 | 17 | 1999 |
| White-collars and black sheep: A twenty-year criminological follow-up of white-collar ex-offenders K Soothill, B Francis, G Escarela Australian & New Zealand Journal of Criminology 32 (3), 303-314, 1999 | 17 | 1999 |
| Heterogeneity and study size in random-effects meta-analysis RJ Bowater, G Escarela Journal of Applied Statistics 40 (1), 2-16, 2013 | 15 | 2013 |
| Modelado de parejas aleatorias usando cópulas G Escarela, A Hernández Revista Colombiana de Estadística 32 (1), 33-58, 2009 | 15 | 2009 |
| Modelado de parejas aleatorias usando cópulas G Escarela, A Hernández Revista Colombiana de Estadística 32 (1), 33-58, 2009 | 15 | 2009 |
| Fitting a semi-parametric mixture model for competing risks in survival data G Escarela, RJ Bowater Communications in Statistics—Theory and Methods 37 (2), 277-293, 2008 | 15 | 2008 |
| A Bayesian mixture model for clustering circular data CE Rodríguez, G Núñez-Antonio, G Escarela Computational Statistics & Data Analysis 143, 106842, 2020 | 11 | 2020 |
| Analysis of a semiparametric mixture model for competing risks A Hernandez-Quintero, JF Dupuy, G Escarela Annals of the Institute of Statistical Mathematics 63, 305-329, 2011 | 10 | 2011 |
| Temporal trend, clinicopathologic and sociodemographic characterization of age at diagnosis of breast cancer among US women diagnosed from 1990 to 2009 G Escarela, LC Pérez-Ruiz, G Núñez-Antonio Springerplus 3, 1-7, 2014 | 7 | 2014 |
| Extreme value modeling for the analysis and prediction of time series of extreme tropospheric ozone levels: A case study G Escarela Journal of the Air & Waste Management Association 62 (6), 651-661, 2012 | 7 | 2012 |
| A copula-based Markov chain model for the analysis of binary longitudinal data G Escarela, LC Perez-Ruiz, RJ Bowater Journal of Applied Statistics 36 (6), 647-657, 2009 | 7 | 2009 |
| Long-term cause-specific mortality after surgery for women with breast cancer: a 20-year follow-up study from surveillance, epidemiology, and end results cancer registries G Escarela, A Jiménez-Balandra, G Núñez-Antonio, A Gordillo-Moscoso Breast Cancer: Basic and Clinical Research 11, 1178223417711429, 2017 | 6 | 2017 |
| Modélisation de risques concurrents par un modèle de mélange semi-paramétrique JF Dupuy, G Escarela Comptes Rendus. Mathématique 344 (10), 641-644, 2007 | 5 | 2007 |
| Addressing missing covariates for the regression analysis of competing risks: Prognostic modelling for triaging patients diagnosed with prostate cancer G Escarela, J Ruiz-de-Chavez, A Castillo-Morales Statistical Methods in Medical Research 25 (4), 1579-1595, 2016 | 4 | 2016 |
| Copula modeling of receiver operating characteristic and predictiveness curves G Escarela, CE Rodríguez, G Núñez‐Antonio Statistics in Medicine 39 (28), 4252-4266, 2020 | 2 | 2020 |
| Modelling Random Couples Using Copulas G Escarela, A Hernandez Revista Colombiana de Estadística 32 (1), 33, 2009 | 2 | 2009 |
