Mª Purificación GALINDO  VILLARDÓN

Mª Purificación GALINDO VILLARDÓN
Universidad de Salamanca · Department of Statistics

Professor

About

320
Publications
58,530
Reads
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2,613
Citations
Introduction
Catedrática del Área de Estadística e Investigación Operativa de la Universidad de Salamanca. Directora del Departamento de Estadística y Matemática Aplicadas (1991-1999) y Directora del Departamento de Estadística (1999-2012, 2016-2019). Vicerrectora de Ciencias de la Salud, Gestión de la Calidad y Política Académica (01/06/2020 – hasta la actualidad).
Additional affiliations
January 1991 - present
Universidad de Salamanca
Position
  • Estadística Multivarainte Aplicada
January 1991 - present
Universidad de Salamanca
Position
  • Bioestadística.

Publications

Publications (320)
Article
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The molecular complexity displayed in acute myeloid leukemia (AML) hinders patient stratification and treatment decisions. Previous studies support the utility of using specific gene panels for this purpose. Focusing on two salient features of AML, the production of reactive oxygen species (ROS) by NADPH oxidases (NOX) and metabolism, we aimed to i...
Article
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In this research, a dataset of growth performances and nutritional composition of juvenile Litopenaeus vannamei after being fed two diets that include aquaculture binder with sardine for 7 weeks was analyzed using data mining techniques: the K-Means Clustering Algorithm and PCA Biplot, to have a visualization of each parameter (vector) measured. Th...
Article
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In this work, a statistical method for the segmentation of samples and/or populations is presented, which is based on a ternary tree structure. This approach overcomes known limitations of other segmentation methods such as CHAID, concerning the multivariate response and the non-symmetric relationship between explanatory and response variables. The...
Article
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Background Response Shift (RS) refers to the idea that an individual may undergo changes in its health-related quality of life (HRQOL). If internal standard, values, or reconceptualization of HRQOL change over time, then answer to the same items by the same individuals may not be comparable over time. Traditional measures to evaluate RS is prone to...
Article
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In this work, a new mathematical algorithm for sparse and orthogonal constrained biplots, called C enet Biplots, is proposed. Biplots provide a joint representation of observations and variables of a multidimensional matrix in the same reference system. In this subspace the relationships between them can be interpreted in terms of geometric element...
Article
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Iatrogenic sexual dysfunction (SD) caused by antihypertensive (AH) compounds, provoking sexual desire, orgasm or arousal dysfunction, is a common clinical adverse event. Unfortunately, it is often underestimated and underreported by clinicians and prescribers in clinical practice, deteriorating the adherence and patient quality of life. The objecti...
Chapter
This research examined the place of Latin American Universities in international university rankings through an HJ-Biplot multivariate statistical analysis regarding a systematic process of literature review. To perform the statistical analysis, data were extracted from ARWU, THE, and QS rankings. It was proposed as the hypothesis that the universi...
Article
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In this study, a data set of mycelial and cultural characteristics of hybrid strains of Pleurotus ostreatus and Pleurotus djamor were analyzed using three data-mining techniques: the K-medoids clustering algorithm, PCA biplot and the association rules algorithm. The characteristics evaluated were as follows: maximum velocity; lag phase; biomass; an...
Article
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In this paper, we propose a new method for disjoint principal component analysis based on an intelligent search. The method consists of a principal component analysis with constraints, allowing us to determine components that are linear combinations of disjoint subsets of the original variables. The effectiveness of the proposed method contributes...
Article
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Today, a greater generation of information is produced as a consequence of the technological development of society. The Internet has facilitated the access and extraction of this information, thus pursuing the automatic discovery of the knowledge contained within. In this context, data mining aims to discover patterns, profiles and trends of a lar...
Article
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In this paper, we extend the use of disjoint orthogonal components to three-way table analysis with the parallel factor analysis model. Traditional methods, such as scaling, orthogonality constraints, non-negativity constraints, and sparse techniques, do not guarantee that interpretable loading matrices are obtained in this model. We propose a nove...
Article
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Multi-set multivariate data analysis methods provide a way to analyze a series of tables together. In particular, the STATIS-dual method is applied in data tables where individuals can vary from one table to another, but the variables that are analyzed remain fixed. However, when you have a large number of variables or indicators, interpretation th...
Article
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Background: Systematic screening for antibodies against SARS-CoV-2 is a crucial tool for surveillance of the COVID-19 pandemic. The University of Salamanca (USAL) in Spain designed a project called "DIANCUSAL" (Diagnosis of New Coronavirus, COVID-19, in University of Salamanca) to measure antibodies against SARS-CoV-2 among its ~34,000 students an...
Article
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Data of the commercial parameters of Pleurotus ostreatus and Pleurotus djamor were analyzed using the data mining technique: K-means clustering algorithm. The parameters evaluated were: biological efficiency, crop yield ratio, productivity rate, nutritional composition, antioxidant and antimicrobial activities in the production of fruit bodies of 5...
Article
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In this paper, we group South American countries based on the number of infected cases and deaths due to COVID-19. The countries considered are: Argentina, Bolivia, Brazil, Chile, Colombia, Ecuador, Peru, Paraguay, Uruguay, and Venezuela. The data used are collected from a database of Johns Hopkins University, an institution that is dedicated to se...
Article
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Models implemented in statistical software for the precision analysis of diagnostic tests include random-effects modeling (bivariate model) and hierarchical regression (hierarchical summary receiver operating characteristic). However, these models do not provide an overall mean, but calculate the mean of a central study when the random effect is eq...
Article
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The HJ biplot is a multivariate analysis technique that allows us to represent both individuals and variables in a space of reduced dimensions. To adapt this approach to massive datasets, it is necessary to implement new techniques that are capable of reducing the dimensionality of the data and improving interpretation. Because of this, we propose...
Article
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The study of biotic and abiotic factors and their interrelationships is essential in the preservation of sustainable marine ecosystems and for understanding the impact that climate change can have on different species. For instance, phytoplankton are extremely vulnerable to environmental changes and thus studying the factors involved is important f...
Preprint
Full-text available
Background: Systematic screening for antibodies against SARS-CoV-2 is a crucial tool for surveillance of the COVID-19 pandemic. The University of Salamanca (USAL) in Spain designed a project called “DIANCUSAL” (Diagnosis of New Coronavirus, COVID-19, in University of Salamanca) to measure antibodies against SARS-CoV-2 among its ~34,000 students and...
Article
Global rankings help boost the international reputation of universities, which thus attempt to achieve good positions on them. These rankings attract great interest each year and are followed attentively by stakeholders in higher education. This paper investigates the trajectory of Spanish universities in the ARWU and THE rankings over the last 5 y...
Article
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El control estadístico multivariante de procesos para la producción por lotes generalmente toma en consideración características correlacionadas para la inspección del desempeño del proceso. En la literatura, los investigadores han utilizado varias técnicas estadísticas de forma individual para abordar esta inspección durante las fases de control y...
Article
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One of the main drawbacks of the traditional methods for computing components in the three-way Tucker model is the complex structure of the final loading matrices preventing an easy interpretation of the obtained results. In this paper, we propose a heuristic algorithm for computing disjoint orthogonal components facilitating the analysis of three-...
Article
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Learning approaches are factors that contribute to sustainability education. Academic stress negatively affects students’ performances in the context of sustainability teaching. This study analyzed how deep and surface approaches could be related to coping with academic stress and gender. An online survey was completed by 1012 university students....
Article
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In this paper, we highlight the basic techniques of multivariate statistical process control (MSPC) under the dimensionality criteria, such as Multiway Principal Component Analysis, Multiway Partial Squares, Structuration à Trois Indices de la Statistique, Tucker3, Parallel Factors, Multiway Independent Component Analysis, Multiset Canonical Correl...
Article
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Studies on the precision of diagnostic tests usually report the number of true positives, false positives, true negatives, and false negatives. There is generally a negative association between the number of true positives and true negatives, as studies that adopt less strict criteria to declare a test as positive need higher sensitivities and lowe...
Article
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Although measures such as sensitivity and specificity are used in the study of diagnostic test accuracy, these are not appropriate for integrating heterogeneous studies. Therefore, it is essential to assess in detail all related aspects prior to integrating a set of studies so that the correct model can then be selected. This work describes the sch...
Article
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With the growth of cities, urban traffic has increased and traffic congestion has become a serious problem. Due to their characteristics, metro systems are one of the most used public transportation networks in big cities. So, optimization and planning of metro networks are challenges which governments must focus on. The objective of this study was...
Article
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Diagnosis and classification of gliomas mostly relies on histopathology and a few genetic markers. Here we interrogated microarray gene expression profiles (GEP) of 268 diffuse astrocytic gliomas—33 diffuse astrocytomas (DA), 52 anaplastic astrocytomas (AA) and 183 primary glioblastoma (GBM)—based on multivariate analysis, to identify discriminator...
Preprint
In this paper, we propose an alternative method to the disjoint principal component analysis. The method consists of a principal component analysis with constraints, which allows us to determine disjoint components that are linear combinations of disjoint subsets of the original variables. The proposed method is named constrained binary optimizatio...
Article
Background Machine-learning (ML) has arrived in medicine to deliver individually adapted medical care. This study sought to use ML to discriminate stent restenosis (SR) compared to existing predictive scores of SR. In order to develop an easily-applicable model, we performed our predictions without any additional variables than those obtained in da...
Article
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Background: The prognostic impact of the expression profile of genes recurrently amplified in glioblastoma multiforme (GBM) remains controversial. Methods: We investigated the RNA gene expression profile of epidermal growth factor receptor (EGFR), cyclin-dependent kinase 4 (CDK4), murine doble minute 4 (MDM4), and platelet derived growth factor...
Article
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In order to improve environmental performance, the participation of effective and transparent citizens and governments that help counteract corruption in environmental matters is crucial. In this sense, this work focuses on exploring relationships between e-participation, e-government, the corruption index and environmental performance indicators....
Chapter
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In meta-analysis for diagnostic test accuracy (DTA), summary measures such as sensitivity, specificity, and odds ratio are used. However, these measures may not be adequate to integrate studies with low prevalence, which is why statistical modeling based on true positives and false positives is necessary. In this context, there are several statisti...
Article
The information contained in corporate social responsibility (CSR) reports is a controversial issue, and it has generated an important debate among academics regarding company disclosure strategies. Environmental matters are especially relevant given their impact on sustainable development. The present study has two objectives. The first is to dete...
Article
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Objectives: To determine the association between home enteral nutrition (HEN) administration modality and its complications in patients. Methods: This is a prospective multicenter longitudinal study including 15 Spanish hospitals, from April 2015 to March 2017. A 4-month follow-up period was conducted for each patient by home visit. The study su...
Article
Water quality is a sensitive topic of worldwide concern that is defined by a series of physical, chemical and biological characteristics. The complex nature for studying water quality requires finding simple models to identify the variables that influence it the most. Therefore, the use of multivariate analysis techniques will be of immense help to...
Article
Sustainability indicators make it possible to clearly and effectively show the general public the position of different countries with respect to sustainability, to assist governments in decision‐making concerning social, environmental, and economic strategies, and to approve plans and tactics. Sustainability is now an important global issue. So ma...
Article
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This paper proposes a National Corporate Social Responsibility Practices Index (NCSRPI) that determines the level of penetration of corporate social responsibility (CSR) in 29 different countries, considering each nation as a set of institutional factors. The NCSRPI is built through a statistical aggregation process of 22 CSR practices categorized...
Article
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Great efforts focus on early detection of autism spectrum disorder, although some scientists and policy-makers have questioned early universal screening. The aim of this meta-analysis was to evaluate the diagnostic accuracy of the different screening tools. Several electronic databases were used to identify published studies. A Bayesian model was u...
Article
The influence of different approaches and attitude towards learning in the General Didactics is studied in few investigations. The main objective of this work is to describe in a multivariate way the relationships between attitude towards General Didactics and learning approaches of students majoring in Social Learning of the University of Salamanc...
Article
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La adolescencia como una de las etapas más importantes en la vida del ser humano está caracterizada por un ritmo acelerado de crecimiento y riesgos[1]. En México se trata de una población vulnerable con altos índices de sobrepeso, obesidad, hipoactividad física[2] y con un elevado consumo de sustancias dañinas[3]. Diversos estudios han señalado que...
Article
Resumen Pocos estudios investigan la influencia de la actitud y enfoques de aprendizaje en la Didáctica General. El objetivo principal de este trabajo consiste en describir, en un sentido multivariante, las relaciones entre la actitud hacia la Didáctica General y los enfoques de aprendizaje de estudiantes del grado de Educación Social de la Univers...
Article
CUR decomposition is one of the matrix decomposition techniques proposed in the literature for the selection of rows and/or columns of a data matrix. Dynamic CUR is proposed as an alternative to the selection criteria of the CUR decomposition based on probabilistic criteria. This alternative tries to fit the most adequate theoretical probability di...
Article
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Executive functions (EFs) are considered a multiple system of processing, associated with different components, such as inhibition, working memory, planning, among others. The study of EFs requires the assessment of all its components, having in mind the socio-demographic and cognitive characteristics of the target population. Nowadays, analysis of...
Article
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In this paper, we analyse the effect of coercive isomorphism (legal system) on Corporate Social Responsibility (CSR) at the country level by using the multivariate statistical techniques X-STATIS and HJ-biplot, which allow us to capture the role that these institutional forces play in the evolution and patterns of behaviour regarding the commitment...
Poster
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Eastern Equatorial Pacific, known for its phytoplankton richness and for containing the Niño 1+2 region, characterized by its sensitivity to detect variations in sea surface temperature, makes it an area of great interest for this research. The data are from 4 fixed stations 10 miles from the coastal profile of Ecuador Continental (3 located in Niñ...
Poster
Eastern Equatorial Pacific, known for its phytoplankton richness and for containing the Niño 1+2 region, characterized by its sensitivity to detect variations in sea surface temperature, makes it an area of great interest for this research. The data are from 4 fixed stations 10 miles from the coastal profile of Ecuador Continental (3 located in Niñ...
Article
Full-text available
Based on both neo-institutional theory and comparative institutional analysis, this paper studies the role that mimetic forces play in the patterns and evolution of behavior concerning company sustainability. The panel data is composed of 6600 observations of 600 international large listed companies belonging to 39 different activity sectors for th...
Article
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Corporate Social Responsibility (CSR) has the characteristic of being a truly global idea, and its global features could give rise to the assumption that national dynamics are secondary or even irrelevant. However, while CSR policies may be of a global nature, recent research suggests that lasting national institutions and distinctive ideological t...
Article
The aim of this paper is to extend the Industrial Corporate Social Responsibility Practices Index proposed for the 10 main industries in the 39 sectors of activity that comprise them. This extension will provide more detailed information on CSR practices at the industrial level, especially about sustainable development and environmental concerns. I...