Evaluación de la condición sanitaria del departamento del Tolima con respecto a Peste Porcina Clásica

Introducción: La Peste Porcina Clásica es una enfermedad de declaración obligatoria de la OIE que limita el comercio internacional. El Tolima tiene restringida la comercialización de animales con el 48% del país por no tener el mismo estatus de Zona Libre; la inclusión del departamento dentro de la zona en proceso de declaración mejoraría la condición sanitaria y permitiría la admisibilidad comercial a los productores. Metodología: Es un estudio descriptivo con dos componentes; el primero incluye la caracterización y evaluación cualitativa de las condiciones sanitarias relacionadas con PPC y el segundo la caracterización virológica mediante un muestreo aleatorio simple para determinar circulación viral. Resultados: se encontró que la atención de las notificaciones se realiza en ≤ 1 día, mientras que entre la atención y resultados existen demoras en el 84% de los casos; las coberturas vacunales son ≥90% que evidencian inmunidad poblacional prolongada y sostenida; en el departamento no se presentan focos desde hace mas de 8 años, no han tenido importaciones de animales con riesgo sanitario, no cuenta barreras geográficas en los limites con la Zona Control que permitan aislamiento y en el muestreo todos los resultados fueron negativos a PPC por RT PCR, con un VPN de 0.99. Discusión: El Tolima cumple con las condiciones sanitarias para incluirse en la próxima zona en proceso de declaración, sin embargo es necesario mejorar las rutas cítricas para la atención de sospechas de PPC e instaurar puestos de control para aislar el departamento y controlar las movilizaciones de porcinos.

Useful academic references for data mining and usage statistics

Relates to the following software for analysing Blackboard stats http://www.edshare.soton.ac.uk/11134/ Is supporting material for the following podcast: http://youtu.be/yHxCzjiYBoU

Dice and data : a comic about statistics with a 95 percent chance of being one. 'Dados y datos : cómic hacia la estadística con probabilidad 0,95 de serlo'.

Resumen tomado parcialmente de la propia publicación

Conceptuals Mentefactos as a Didactic-Pedagogical Strategy of the Basic Concepts in the Sampling Theory Applyed to the Health Research

In populational sampling it is vitally important to clarify and discern: first, the design or sampling method used to solve the research problem; second, the sampling size, taking into account different components (precision, reliability, variance); third, random selection and fourth, the precision estimate (sampling errors), so as to determine if it is possible to infer the obtained estimates from the target population. The existing difficulty to use concepts from the sampling theory is to understand them with absolute clarity and, to achieve it, the help from didactic-pedagogical strategies arranged as conceptual “mentefactos” (simple hierarchic diagrams organized from propositions) may prove useful. This paper presents the conceptual definition, through conceptual “mentefactos”, of the most important populational probabilistic sampling concepts, in order to obtain representative samples from populations in health research.

Measuring and testing for the systemically important financial institutions

This paper analyzes the measure of systemic importance ∆CoV aR proposed by Adrian and Brunnermeier (2009, 2010) within the context of a similar class of risk measures used in the risk management literature. In addition, we develop a series of testing procedures, based on ∆CoV aR, to identify and rank the systemically important institutions. We stress the importance of statistical testing in interpreting the measure of systemic importance. An empirical application illustrates the testing procedures, using equity data for three European banks.

Admissible statistics of educational test scores. 'Estadisticas admisibles de puntuaciones en test educativos'.

Resumen basado en el de la publicación

An audiovisual material for the teaching of the statistics. 'Un material audiovisual didáctico para la enseñanza de la estadística'.

Resumen basado en el de la publicación

Medical image registration based on random line sampling

One of the key aspects in 3D-image registration is the computation of the joint intensity histogram. We propose a new approach to compute this histogram using uniformly distributed random lines to sample stochastically the overlapping volume between two 3D-images. The intensity values are captured from the lines at evenly spaced positions, taking an initial random offset different for each line. This method provides us with an accurate, robust and fast mutual information-based registration. The interpolation effects are drastically reduced, due to the stochastic nature of the line generation, and the alignment process is also accelerated. The results obtained show a better performance of the introduced method than the classic computation of the joint histogram

View-dependent information theory quality measures for pixel sampling and scene discretization in flatland

In this paper, we present view-dependent information theory quality measures for pixel sampling and scene discretization in flatland. The measures are based on a definition for the mutual information of a line, and have a purely geometrical basis. Several algorithms exploiting them are presented and compare well with an existing one based on depth differences

Point sampling with uniformly distributed lines

In this paper we address the problem of extracting representative point samples from polygonal models. The goal of such a sampling algorithm is to find points that are evenly distributed. We propose star-discrepancy as a measure for sampling quality and propose new sampling methods based on global line distributions. We investigate several line generation algorithms including an efficient hardware-based sampling method. Our method contributes to the area of point-based graphics by extracting points that are more evenly distributed than by sampling with current algorithms

Incongruence between test statistics and P values in medical papers

Given an observed test statistic and its degrees of freedom, one may compute the observed P value with most statistical packages. It is unknown to what extent test statistics and P values are congruent in published medical papers. Methods: We checked the congruence of statistical results reported in all the papers of volumes 409–412 of Nature (2001) and a random sample of 63 results from volumes 322–323 of BMJ (2001). We also tested whether the frequencies of the last digit of a sample of 610 test statistics deviated from a uniform distribution (i.e., equally probable digits).Results: 11.6% (21 of 181) and 11.1% (7 of 63) of the statistical results published in Nature and BMJ respectively during 2001 were incongruent, probably mostly due to rounding, transcription, or type-setting errors. At least one such error appeared in 38% and 25% of the papers of Nature and BMJ, respectively. In 12% of the cases, the significance level might change one or more orders of magnitude. The frequencies of the last digit of statistics deviated from the uniform distribution and suggested digit preference in rounding and reporting.Conclusions: this incongruence of test statistics and P values is another example that statistical practice is generally poor, even in the most renowned scientific journals, and that quality of papers should be more controlled and valued