GLM model

Improving retinal artery and vein classification by means of a minimal path approach

González-Vázquez S, Cancela B, Barreira N, González-Penedo M, Rodríguez-Blanco M, Pena M, Coll-de-Tuero G, Barceló MA, Saez M. Machine Vision and Applications July 2012. doi: 10.1007/s00138-012-0442-4 (Impact Factor: 1.788, COMPUTER SCIENCE, CYBERNETICS 10/23 Q2)

Retinal arteriole-to-venule ratio changes and target organ disease evolution in newly diagnosed hypertensive patients at one year follow-up

Coll-de-Tuero G, González-Vázquez S, Rodríguez-Poncelas A, Barceló MA, Barrot J, González-Penedo M, Pose-Reino A, Pena M, Saez M. Journal of the American Society of Hypertension 2014; 8(2):83-93. doi: 10.1016/j.jash.2013.10.002 (Impact Factor: 2.268, PERIPHERAL VASCULAR DISEASE 39/65 Q3)

Clinical epidemiology Eye fundus FRCV GLM model Method:Generalized models Q3 Selection on observables:Regression models

Saez M, Pérez-Hoyos S, Tobías A, Saurina C, Barceló MA, Ballester F. Revista Española de Salud Pública 1999; 73:133-143 (Impact Factor: 0.635, PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH 154/162 Q4)

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ARIMA model Environmental epidemiology GLM model Method:Generalized models Method:Time series Mortality Q4 Selection on observables:Regression models

The usefulness of ophthalmoscopy in risk evaluation of hypertensive patients

Coll-de-Tuero G, Foguet Q, Vargas S, Saez M, Barceló MA. Blood Pressure 2002; 11:1-8. doi: 10.1080/080370502320779467 (Impact Factor: 2.292, PERIPHERAL VASCULAR DISEASE 38/65 Q3)

Clinical epidemiology Eye fundus FRCV GLM model Method:Generalized models Q3 Selection on observables:Regression models

Relación a corto plazo de la contaminación atmosférica y la mortalidad en trece ciudades españolas

Ballester F, Íñiguez C, Saez M, Pérez-Hoyos S, Daponte A, Ordóñez JM, Barceló MA, Taracido M, Arribas F, Bellido J, Cambra K, Cañada A, Guillén JJ. Medicina Clínica 2003; 121(18):684-689 (Impact Factor: 1.277, MEDICINE, GENERAL & INTERNAL 91/160 Q3)

Environmental epidemiology GAM model GLM model Method:Generalized models Mortality Q3 Selection on observables:Regression models

Usefulness of optic fundus examination with retinography in initial evaluation of hypertensive patients

Foguet Q, Rodríguez A, Saez M, Ubieto A, Beltrán M, Barceló MA, Coll-de-Tuero G. American Journal of Hypertension 2008; 21(4):400-405. doi: 10.1038/ajh.2008.3 (Impact Factor: 2.530, PERIPHERAL VASCULAR DISEASE 33/65 Q3)

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Clinical epidemiology Eye fundus FRCV GLM model Method:Generalized models Q3 Selection on observables:Regression models

Accurately estimating breast cancer survival in Spain: cross-matching local cancer registries with the National Death Index

Martos C, Saurina C, Feja C, Saez M, Burriel MC, Barceló MA, Gómez P, Renart G, Alcalá T, Marcos-Gragera R. Revista Panamericana de Salud Pública 2009; 26(1):51-54. doi: 10.1590/s1020-49892009000700008 (Impact Factor: 0.774, PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH 149/162 Q4)

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Cancer epidemiology GLM model KM Method:Generalized models Method:Survival analysis Q4 Selection on observables:Matching Selection on observables:Regression models

Gender, socioeconomic variables and target organ damage in new-diagnosed hypertensive patients

Coll-de-Tuero G, Barceló MA, Saez M. Blood Pressure 2009; 18(4):213-222. doi: 10.1080/08037050903145923 (Impact Factor: 1.656, PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH 79/162 Q2)

Clinical epidemiology FRCV GLM model Method:Generalized models Q2 Selection on observables:Propensity Score Selection on observables:Regression models White coat

Passive smoking in babies: the BIBE study (brief intervention in babies effectiveness)

Ortega G, Castella C, Martín-Cantera C, Ballvé J, Díaz-Álvarez E, Saez M, Lozano J, Rofes L, Morera C, Barceló MA, Cabezas C, Pascual J, Pérez R, Saltó E, Valverde A, Jane M. BMC Public Health 2010; 10:772. doi: 10.1186/1471-2458-10-772 (Impact Factor: 2.567, PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH 23/65 Q2)

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Clinical epidemiology GLM model Method:Generalized models Q2 Respiratory. Mortality and morbidity Selection on observables:Matching Selection on observables:Regression models

Why is cardiovascular risk stratification important in hypertensive patients?

Coll-de-Tuero G, Saez M, Rodríguez-Poncelas A, Barceló MA, Vargas-Vila S, Garré-Olmo J, Sala V, Sieira A, Gelada E, Gelado-Ferrero J. Blood Pressure 2012; 21(3):182-190. doi: 10.3109/08037051.2012.681109 (Impact Factor: 2.292, PERIPHERAL VASCULAR DISEASE 38/65 Q3)

Clinical epidemiology FRCV GLM model Method:Generalized models Q3 Selection on observables:Regression models White coat

#GLM model