Person: Susi García, María Del Rosario
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First Name
María Del Rosario
Last Name
Susi García
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Estudios estadísticos
Department
Estadística y Ciencia de los Datos
Area
Estadística e Investigación Operativa
Identifiers
6 results
Search Results
Now showing 1 - 6 of 6
Item Bayesian reasoning with emotional material in patients with schizophrenia(Frontiers in Psychology, 2022) Susi García, María Del Rosario; Romero-Ferreiro, Verónica; Sánchez-Morla, Eva M.; Marí-Beffa, Paloma; Rodríguez-Gómez, Pablo; Amador Pacheco, Julia; Moreno, Eva M.; Romero, Carmen; Martínez-García, Natalia; Rodriguez-Jimenez, RobertoDelusions are one of the most classical symptoms described in schizophrenia. However, despite delusions are often emotionally charged, they have been investigated using tasks involving non-affective material, such as the Beads task. In this study we compared 30 patients with schizophrenia experiencing delusions with 32 matched controls in their pattern of responses to two versions of the Beads task within a Bayesian framework. The two versions of the Beads task consisted of one emotional and one neutral, both with ratios of beads of 60:40 and 80:20, considered, respectively, as the "difficult" and "easy" variants of the task. Results indicate that patients showed a greater deviation from the normative model, especially in the 60:40 ratio, suggesting that more inaccurate probability estimations are more likely to occur under uncertainty conditions. Additionally, both patients and controls showed a greater deviation in the emotional version of the task, providing evidence of a reasoning bias modulated by the content of the stimuli. Finally, a positive correlation between patients' deviation and delusional symptomatology was found. Impairments in the 60:40 ratio with emotional content was related to the amount of disruption in life caused by delusions. These results contribute to the understanding of how cognitive mechanisms interact with characteristics of the task (i.e., ambiguity and content) in the context of delusional thinking. These findings might be used to inform improved intervention programs in the domain of inferential reasoning.Item A three-dimensional Oral health-related quality of life framework for temporomandibular joint disorders: A structural analysis of the Oral Health Impact Profile-14(Journal of Dentistry, 2023) Castaño Joaquí, Oscar Gabriel; Susi García, María Del Rosario; Amador Pacheco, JuliaObjectives: the objective is to analyze the structure and relationship between the components of the Oral healthrelated quality of life using the Oral Health Impact Profile-14 (OHIP-14) for patients with temporomandibular joint disorders (TMJD). Methods: two studies were examinated by means of factor analysis, multidimensional scaling and their spatial display in a cross-sectional design (n = 153). Results: three-dimensional solutions with an adequate fit were found: residual distribution, root mean square of residuals (RMSR) = 0.04, Goodness of Fit Index (GFI) = 0.96, and Adjusted Goodness of Fit Index (AGFI) = 0.93; and Stress I = 0.023, respectively. The overall ordinal alpha coefficient was 0.92 (CI=0.90 to 0.94). The ordinal alpha coefficients for functional impact, psychosocial impact and psychological impact factors were 0.87 (CI=0.84 to 0.90), 0.88 (CI=0.84 to 0.91) and 0.78 (CI= 0.72 to 0.83), respectively. Item 9 was the most central, followed by 7 and 11. Items 1 and 2 had minor associations. There was no evidence of differences between centers: edge weight differences (M = 0.226, p = 0.94), global strength invariance test (S = 1.88, p = 0.1), centrality invariance test (p >0.05), edge invariance test (p >0.05). Conclusions: the links between the dimensions and the items seem to involve psychological components. Oral health-related quality of life emerged as a three-dimensional structure (Functional Impact, Psychosocial Impact and Psychological Impact) of functional and psychosocial elements in which physical, psychological, and social disability were essential, while theoretical functional limitation was least important. Clinical significance: the three-dimensional OHRQoL system for temporomandibular disorders (TMD) is a worthwhile alternative to interpret psychological and psychosocial aspects.- Project number: 331
Item Elaboración y diseño de estructura modular para la formación en Técnicas estadísticas básicas y para la investigación(2015) Alonso Revenga, Juana M.; Amador Pacheco, Julia; Brita-Paja Segoviano, Jose Luis; Cáceres García, Inés; Cintas del Río, Rosario; Corral Herrero, Aránzazu; Espínola Vílchez, María Rosario; Ferrán Aranaz, Magdalena; Nieto Zayas, Carmen; Ortega Castelló, Eduardo; Susi García, María Del Rosario; Vicente Hernanz, Mª Lina Item Definición y estudios de redes bayesianas aplicadas a ciencias de la salud y de la vida(2021) Mateos Marcos, Carlos; Amador Pacheco, Julia; Susi García, María Del RosarioLas redes bayesianas son modelos gráficos probabilísticos que expresan las relaciones de dependencia condicional en un conjunto de variables. Desde su concepción, las redes bayesianas han estado profundamente ligadas a las Ciencias de la Salud y de la Vida, especialmente en el área clínica. Existe una bibliografía extensa sobre aplicaciones de las redes bayesianas a este ámbito. Sin embargo, el análisis de algoritmos de aprendizaje de redes y parámetros, y su aptitud en función de factores como la cantidad de variables, la naturaleza de los datos o la complejidad de la estructura de dependencia no es un tema común en la literatura. En este trabajo, analizamos la aplicación de estas técnicas a problemas descritos en la bibliografía, exploramos el software bnlearn disponible en el lenguaje de programación R documentando nuestro código y evaluamos las estrategias de aprendizaje que mejor se ajustan a cada tipo de datos. Esperamos con ello aportar conocimiento sobre las redes bayesianas y proporcionar un punto de partida para su estudio a profesionales sanitarios e investigadores.- Project number: 4
Item Gamificación en el aula con Kahoot! en la Facultad de Estudios Estadísticos(2020) Calviño Martínez, Aída; Rapado Vicente, María Eva; Peressini Álvarez, Melina; Cabrera Gómez, Gloria; Cáceres García, Inés María; Alonso Revenga, Juana María; Latorre Muñoz, María De La Concepción; Amador Pacheco, Julia; Rodríguez Cánovas, María Belén; Rodríguez Palanquex, María Cruz; Cintas Del Rio, María Del Rosario; Susi García, María Del Rosario; López Herrero, María Jesús; Alcón Giménez, María José; Pérez Pérez, Teresa; Gamboa Pérez, MaríaMemoria final del proyecto de innovación docente titulado: "Gamificación en el aula con Kahoot! en la Facultad de Estudios Estadísticos" - Project number: 155
Item Desarrollo de herramientas on line para estudiar la inserción laboral de los graduados de la Universidad Complutense(2015) Susi García, María Del Rosario; Brita-Paja, Jose Luis; Nieto Zayas, Carmen; Amador Pacheco, Julia; Cáceres García, Inés María