Categorized napping, a sensometric tool for food and beverage industry. An application to a hall test session

Sensory analysis is the standard analysis of foods made with the senses. Under the name of sensometrics regroup statistical methods address to this type of data. An important application area of sensory analysis is the wine industry. The companies are beginning to see the potential of sensory analysis and they are organizing more hall test sessions every passing day to learn about their products and use these results to improve their production and marketing. However, yet these m thods are not used very much because of their little knowledge between wine industry companies

Categorized napping, a sensometric tool for food and beverage industry. An application to a hall test session

Sensory analysis is the standard analysis of foods made with the senses. Under the name of sensometrics regroup statistical methods address to this type of data. An important application area of sensory analysis is the wine industry. The companies are beginning to see the potential of sensory analysis and they are organizing more hall test sessions every passing day to learn about their products and use these results to improve their production and marketing. However, yet these m thods are not used very much because of their little knowledge between wine industry companies

A principal component method to analyse disconnected frequency tables by means of contextual information

This thesis arises from the need to deal with open-ended questions answered in different languages in international surveys. For every language, the free answers are encoded in the form of a individuals x words lexical table. An important feature is that the lexical tables, from one language to the other, have neither the row-individuals nor the column-words in common. However, the global analysis and the comparison of the different samples require to place all the words, in any language, in the same space. As a solution, we propose to integrate the answers to the closed questions into the analysis, where the contextual variables the same for all the samples. This integration plays an essential role by permitting a global analysis. Thus, for every language, we have one lexical table and one categorical/quantitative table, a structure that we call "coupled tables". The global complex data structure is a sequence of "coupled tables". To analyse these data, we adopt a Correspondence Analysis-like approach. We propose a method which combines: Multiple Factor Analysis for Contingency Tables, in order to balance the influence of the sets of words in the global analysis and Correspondence Analysis on a Generalised Aggregated Lexical Table, which places all the words in the same space. The new method is called Multiple Factor Analysis on Generalised Aggregated Lexical Table. The results in an application show that the method provides outputs that are easy to interpret. They allow for studying the similarities/dissimilarities between the words including when they belong to different languages as far as they are associated in a similar/different way to the contextual variables. The methodology can be applied in other fields provided that the data are coded in a sequence of coupled tables.Esta tesis surge de la necesidad de tratar las preguntas abiertas respondidas en diferentes idiomas en las encuestas internacionales. En cada uno de los idiomas, las respuestas libres se codifican en la forma de una tabla léxica de individuos x palabras. Una característica importante de estas tablas léxicas es que, de un idioma a otro, no tienen ni las filas-individuos ni las columnas-palabras en común. Sin embargo, el análisis global y la comparación de las diferentes muestras requiere proyectar todas las palabras del cualquier idioma en un mismo espacio. Como solución, se propone integrar las respuestas a las preguntas cerradas en el análisis, donde las variables contextuales son las mismas para todas las muestras. Esta integración juega un papel esencial al permitir un análisis global de los datos. Por lo tanto, para cada idioma, tenemos una tabla léxica y una tabla contextual con variables categóricas o cuantitativas, la estructura que llamamos "tablas acopladas". Y la estructura global compleja se llama secuencia de "tablas acopladas". Para analizar estos datos, adoptamos un enfoque similar a lo de análisis de correspondencias. Proponemos un método que combina: análisis factorial múltiple para las tablas de contingencia con el objetivo de equilibrar la influencia de los grupos de palabras en el análisis global y análisis de correspondencias en las tablas léxicas agregadas generalizadas, lo que permite proyectar todas las palabras en un mismo espacio. El nuevo método se llama Análisis Factorial Múltiple en las tablas léxicas agregadas generalizadas. Aplicación sobre una encuesta de satisfacción muestra que el método proporciona resultados que son fáciles de interpretar. Estos resultados permiten estudiar las similitudes/diferencias entre las palabras, incluyendo cuando pertenecen a diferentes idiomas, en función de su asociación con las variables contextuales. La metodología se puede aplicar en otros campos siempre y cuando los datos se codifiquen en una secuencia de "tablas acopladas"

Aportación del analisis canónico de correspondencias al análisis textual

La creación de bases de datos jurídicos y jurisprudenciales, que contienen principalmente las sentencias emitidas por los tribunales, ha conducido a crear herramientas múltiples para facilitar su interrogación. Actualmente, se dispone de buscadores que permiten contestar a las consultas de los usuarios a partir de la presencia de determinadas palabras o secuencias de palabras (siguiendo un modelo parecido a las consultas efectuadas desde Google, por ejemplo). El proyecto ET-BI tiene como objetivo estudiar la aportación del análisis de correspondencias y de extensiones como el análisis factorial múltiple para las tablas de contingencias y el análisis canónico de correspondencias (ACC) como herramientas para organizar los corpus previamente a su interrogación

Untangling the influence of several contextual variables on the respondents‘lexical choices. A statistical approach

This work proposes an original textual statistical method to uncover the relationships between opinions, expressed as free-text answers, and respondents’ characteristics. This method also identifies the specific links between each characteristic and certain words used in these answers. Promising results are obtained as shown by an application to real data collected to know what health means for non-experts, essential knowledge for effective public health interventions

Aportación del analisis canónico de correspondencias al análisis textual

La creación de bases de datos jurídicos y jurisprudenciales, que contienen principalmente las sentencias emitidas por los tribunales, ha conducido a crear herramientas múltiples para facilitar su interrogación. Actualmente, se dispone de buscadores que permiten contestar a las consultas de los usuarios a partir de la presencia de determinadas palabras o secuencias de palabras (siguiendo un modelo parecido a las consultas efectuadas desde Google, por ejemplo). El proyecto ET-BI tiene como objetivo estudiar la aportación del análisis de correspondencias y de extensiones como el análisis factorial múltiple para las tablas de contingencias y el análisis canónico de correspondencias (ACC) como herramientas para organizar los corpus previamente a su interrogación

Multiple Factor Analysis for Contingency Tables in FactoMineR Package

Multiple Factor Analysis for Contingency Tables in FactoMineR Packag

Effectiveness of a new one-hour blood pressure monitoring method to diagnose hypertension: a diagnostic accuracy clinical trial protocol

Introduction 24-hour ambulatory blood pressure monitoring (ABPM) is the gold standard diagnostic method for hypertension, but has some shortcomings in clinical practice while clinical settings often lack sufficient devices to accommodate all patients with suspected hypertension. Home blood pressure monitoring (HBPM) and office blood pressure monitoring (OBPM) also have shortcomings, such as the white coat effect or a lack of accuracy. This study aims to study the validity of a new method of diagnosing hypertension consisting of monitoring blood pressure (BP) for 1 hour and comparing it with OBPM and HBPM and examining the sensitivity and specificity of this method compared with 24-hour ABPM. The patient experience will be examined in each method. Methods and analysis A minimum sample of 214 patients requiring a diagnostic test for hypertension from three urban primary healthcare centres will be included. Participants will undergo 24-hour ABPM, 1-hour BP measurement (1-BPM), OBPM for three consecutive weeks and HBPM. Patients will follow a random sequence to first receive 24-hour ABPM or 1-hour ABPM. Daytime 24-hour ABPM records will be compared with the other monitoring methods using the correlation coefficient and Bland Altman plots. The kappa concordance index and the sensitivity and specificity of the methods will be calculated. The patient’s experience will be studied, with selected indicators of efficiency and satisfaction calculated using parametric tests. Ethics and dissemination The protocol has been authorised by the research ethics committee of the Hospital Clinic of Barcelona (Ref. HCB/2014/0615): protocol details and amendments will be recorded and reported to ClinicalTrials.com. The results will be disseminated in peer-reviewed literature, and to policy makers and healthcare partners.Peer ReviewedPostprint (published version

Comparison of the reproducibility of a trained and an untrained panel in a napping evaluation

Postprint (published version

Correspondence Analysis on Generalised Aggregated Lexical Tables (CA-GALT) in the FactoMineR Package

Abstract Correspondence analysis on generalised aggregated lexical tables (CA-GALT) is a method that generalizes classical CA-ALT to the case of several quantitative, categorical and mixed variables. It aims to establish a typology of the external variables and a typology of the events from their mutual relationships. In order to do so, the influence of external variables on the lexical choices is untangled cancelling the associations among them, and to avoid the instability issued from multicollinearity, they are substituted by their principal components. The CaGalt function, implemented in the FactoMineR package, provides numerous numerical and graphical outputs. Confidence ellipses are also provided to validate and improve the representation of words and variables. Although this methodology was developed mainly to give an answer to the problem of analyzing open-ended questions, it can be applied to any kind of frequency/contingency table with external variables