#Selection on unobservables:Mixed models

Blood-based biomarkers in centenarians and non-centenarians: a matched, population-based retrospective cohort study using primary care records in Catalonia, Spain

Moreno MA, Vidal-Alaball J, Saez M, Barceló MA. Biogerontology 2025; 26:115. doi: 10.1007/s10522-025-10258-3 (Impact Factor: 4.100, GERIATRICS & GERONTOLOGY 19/73 Q2).

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COVID-19 Mortality Q2 Selection on observables:Matching Selection on unobservables:Mixed models
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Comparing temporal changes and predictors of different types of mental health and socio-emotional wellbeing outcomes during COVID-19: an overlapping panel study of Spanish residents

Robles B, Saez M, Cabrera-León A, Sánchez-Cantalejo C, López MJ, Barceló MA. BMC Public Health 2024; 24:2284. doi: 10.1186/s12889-024-19817-8 (Impact Factor: 3.500, PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH 84/403 Q1)

COVID-19 Method:Space-time models Q1 Selection on unobservables:Mixed models Selection on unobservables:Space-time models Socioeconomic inequalities
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Air pollution and children’s mental health in rural areas. Compositional spatio-temporal model

Mota-Bertran A, Coenders G, Plaja P, Saez M, Barceló MA. Scientific Reports 2024; 14:19363. doi: 10.1038/s41598-024-70024-2 (Impact Factor: 3.800, MULTIDISCIPLINARY SCIENCES 25/134 Q1).

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Environmental inequalities Method:Space-time models Q1 Selection on unobservables:Mixed models Selection on unobservables:Space-time models
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Spatiotemporal variability in socioeconomic inequalities in vaccination against COVID-19 in Catalonia, Spain

Barceló MA, Perafita X and Saez M. Public Health 2024; 227:9-15. doi: 10.1016/j.puhe.2023.11.024 (Impact Factor: 5.200, PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH 25/180 Q1).

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COVID-19 Method:Space-time models Q1 Selection on unobservables:Mixed models Selection on unobservables:Space-time models Socioeconomic inequalities
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Impact of the COVID-19 pandemic on the socioeconomic inequalities in mortality in Spanish provinces

Barceló MA and Saez M. Journal of Epidemiology and Global Health 2023; 13(3):453-475. doi: 10.1007/s44197-023-00125-0 (Impact Factor: 7.300, PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH, 21/207 Q1)

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COVID-19 Method:Space-time models Q1 Selection on unobservables:Mixed models Selection on unobservables:Space-time models Socioeconomic inequalities
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Effectiveness of the measures to flatten the epidemic curve of COVID-19. The case of Spain

Saez M, Tobías A, Varga D, Barceló MA. Science of the Total Environment (STOTEN) 2020; 727:138761. doi: 10.1016/j.scitotenv.2020.138761 (Impact Factor: 7.963, ENVIRONMENTAL SCIENCES 25/274 Q1)

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COVID-19 Clinical epidemiology GLMM model Method:Generalized models Method:Space-time models Q1 RWD and RWE Selection on unobservables:Mixed models
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The role first-day readings play in a three-day schedule of self-monitoring home blood pressure based on prognostic data. Vampahica study

Bayó J, Dalfó A, Barceló MA, Saez M, Roca C, Pallozzi J, Coll-de-Tuero G. American Journal of Hypertension 2020; 33(2): 156-160. doi: 10.1093/ajh/hpz178 (Impact Factor: 2.689, PERIPHERAL VASCULAR DISEASE, 41/65 Q3)

Clinical epidemiology FRCV GLMM model Method:Generalized models Q3 Selection on unobservables:Mixed models White coat
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What is the optimal cut-off threshold when self-monitoring blood pressure at home?

Coll-de-Tuero G, Saez M, Rodríguez-Poncelas A, Bayó-Llibre J, Beltrán-Vilella M, Reyes-Negre C, Dalfó-Baqué A, Barceló MA. Medicine 2019; 98(1):e14817. doi: 10.1097/MD.0000000000014817 (Impact Factor: 1.870, MEDICINE, GENERAL & INTERNAL, 69/160 Q2)

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Clinical epidemiology FRCV GLMM model Method:Generalized models Q2 Selection on unobservables:Mixed models White coat
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Effects of the financial crisis on psychotropic drug consumption in a cohort from a semi-urban region in Catalonia, Spain

Barceló MA, Coll-Negre M, Coll-de-Tuero G, Saez M. PlosOne 2016; 11(2):e0148594. doi: 10.1371/journal.ponel0148594 (Impact Factor: 2.806, MULTIDISCIPLINARY SCIENCES, 15/64 Q1)

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Crisis and health GLMM model Health econometrics Method:Generalized models Q1 Selection on observables:Propensity Score Selection on unobservables:Mixed models
The dynamic behaviour of metabolic sindrome and its components in an eight-year population-based cohort from the Mediterranean

Barceló MA, Rodríguez-Poncelas A, Saez M, Coll-de-Tuero G. PlosOne 2017; 12(5): e0176665. doi: 10.1371/journal.pone.0176665 (Impact Factor: 2.766, MULTIDISCIPLINARY SCIENCES, 15/64 Q1).

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Andersen-Gill model Clinical epidemiology FRCV Metabolic syndrome and its components Method:Survival analysis Q1 Selection on unobservables:Mixed models
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