Criterios de valoración en el diagnóstico y pronóstico de la pleuroneumonía equina. Aplicación de la curva ROC para determinación de fiabilidad diagnóstica

Los procesos respiratorios en los caballos representan un problema muy importante en la clínica equina ya que provocan bajas y/o disminuciones del rendimiento tanto en caballos de uso deportivo como de otros tipos. Por ello es importante valorar de manera precisa las enfermedades que pueden provocar la muerte del paciente por la gravedad de las lesiones que generan. También es imprescindible ser capaces de emitir un pronóstico lo más acertado posible en la valoración de los procesos para determinar la esperanza de vida y posibilidades de recuperación o no de los enfermos, y hacerlo en función de la etiología del proceso que les afecta y del diagnóstico preciso para cada caso. En las últimas décadas y gracias al avance de la técnica y al desarrollo de los métodos de exploración se pueden realizar diagnósticos precisos y la evaluación correcta y adecuada de los pacientes equinos que exploramos en la clínica. Hay que tener en cuenta además en este sentido que son importantes también los avances realizados en el conocimiento de las enfermedades específicas de los caballos en disciplinas como la Medicina Interna y resto de especialidades clínicas actuales, y también valorar el avance en el conocimiento de las técnicas diagnósticas actuales que se pueden utilizar de manera precisa en cada caso para llegar a un diagnóstico específico. También hay que valorar y utilizar los protocolos clínicos en Medicina que permiten evaluar de manera específica, ordenada y precisa hoy día alos pacientes equinos. Por otra parte, es también fundamental saber que en la actualidad para el empleo sistemático de cualquier procedimiento en Medicina se debe realizar siempre un estudio de comprobación de la fiabilidad del mismo, y conocer los métodos y pruebas o determinaciones diagnósticas utilizadas en el protocolo específico utilizado o propuesto. Estas comprobaciones de la sensibilidad de los métodos utilizados, se realizan con la aplicación de sistemas de análisis matemáticos específicos de probabilidad que permiten la valoración y la contrastación de los métodos diagnósticos utilizados para analizar su fiabilidad...

GE models and algorithms for condensed phase equilibrium data regression in ternary systems: limitations and proposals

Phase equilibrium data regression is an unavoidable task necessary to obtain the appropriate values for any model to be used in separation equipment design for chemical process simulation and optimization. The accuracy of this process depends on different factors such as the experimental data quality, the selected model and the calculation algorithm. The present paper summarizes the results and conclusions achieved in our research on the capabilities and limitations of the existing GE models and about strategies that can be included in the correlation algorithms to improve the convergence and avoid inconsistencies. The NRTL model has been selected as a representative local composition model. New capabilities of this model, but also several relevant limitations, have been identified and some examples of the application of a modified NRTL equation have been discussed. Furthermore, a regression algorithm has been developed that allows for the advisable simultaneous regression of all the condensed phase equilibrium regions that are present in ternary systems at constant T and P. It includes specific strategies designed to avoid some of the pitfalls frequently found in commercial regression tools for phase equilibrium calculations. Most of the proposed strategies are based on the geometrical interpretation of the lowest common tangent plane equilibrium criterion, which allows an unambiguous comprehension of the behavior of the mixtures. The paper aims to show all the work as a whole in order to reveal the necessary efforts that must be devoted to overcome the difficulties that still exist in the phase equilibrium data regression problem.

Economic crises and tourism competitiveness: A Markov swtiching regression approach

Authors discuss the effects that economic crises generate on the global market shares of tourism destinations, through a series of potential transmission mechanisms based on the main economic competitiveness determinants identified in the previous literature using a non-linear approach. Specifically a Markov Switching Regression approach is used to estimate the effect of two basic transmission mechanisms: reductions of internal and external tourism demands and falling investment.

Exports and Capacity Constraints: A smooth transition regression model for six euro-area countries. CEPS Working Document No. 395/May 2014

The significant gains in export market shares made in a number of vulnerable euro-area crisis countries have not been accompanied by an appropriate improvement in price competitiveness. This paper argues that, under certain conditions, firms consider export activity as a substitute for serving domestic demand. The strength of the link between domestic demand and exports is dependent on capacity constraints. Our econometric model for six euro-area countries suggests domestic demand pressure and capacity-constraint restrictions as additional variables of a properly specified export equation. As an innovation to the literature, we assess the empirical significance through the logistic and the exponential variant of the non-linear smooth transition regression model. We find that domestic demand developments are relevant for the short-run dynamics of exports in particular during more extreme stages of the business cycle. A strong substitutive relationship between domestic and foreign sales can most clearly be found for Spain, Portugal and Italy, providing evidence of the importance of sunk costs and hysteresis in international trade.

LOGITCPRPLOT: Stata module to graph component-plus-residual plot for logistic regression

logitcprplot can be used after logistic regression for graphing a component-plus-residual plot (a.k.a. partial residual plot) for a given predictor, including a lowess, local polynomial, restricted cubic spline, fractional polynomial, penalized spline, regression spline, running line, or adaptive variable span running line smooth

RRLOGIT: Stata module to estimate logistic regression for randomized response data

rrlogit fits a maximum-likelihood logistic regression for randomized response data.

WGTTEST: Stata module to test the impact of sampling weights in regression analysis

wgttest performs a test proposed by DuMouchel and Duncan (1983) to evaluate whether the weighted and unweighted estimates of a regression model are significantly different.

Use of Extended Characteristics of Locomotion and Feeding Behavior for Automated Identification of Lame Dairy Cows.

This study was carried out to detect differences in locomotion and feeding behavior in lame (group L; n = 41; gait score ≥ 2.5) and non-lame (group C; n = 12; gait score ≤ 2) multiparous Holstein cows in a cross-sectional study design. A model for automatic lameness detection was created, using data from accelerometers attached to the hind limbs and noseband sensors attached to the head. Each cow's gait was videotaped and scored on a 5-point scale before and after a period of 3 consecutive days of behavioral data recording. The mean value of 3 independent experienced observers was taken as a definite gait score and considered to be the gold standard. For statistical analysis, data from the noseband sensor and one of two accelerometers per cow (randomly selected) of 2 out of 3 randomly selected days was used. For comparison between group L and group C, the T-test, the Aspin-Welch Test and the Wilcoxon Test were used. The sensitivity and specificity for lameness detection was determined with logistic regression and ROC-analysis. Group L compared to group C had significantly lower eating and ruminating time, fewer eating chews, ruminating chews and ruminating boluses, longer lying time and lying bout duration, lower standing time, fewer standing and walking bouts, fewer, slower and shorter strides and a lower walking speed. The model considering the number of standing bouts and walking speed was the best predictor of cows being lame with a sensitivity of 90.2% and specificity of 91.7%. Sensitivity and specificity of the lameness detection model were considered to be very high, even without the use of halter data. It was concluded that under the conditions of the study farm, accelerometer data were suitable for accurately distinguishing between lame and non-lame dairy cows, even in cases of slight lameness with a gait score of 2.5.

Comparison of IgG concentrations by radial immunodiffusion, electrophoretic gamma globulin concentrations and total globulins in neonatal foals

REASONS FOR PERFORMING STUDY: Failure of transfer of passive immunity (FTPI) in foals is associated with a risk of infection and death. The current diagnostic gold standard is quantification of immunoglobulins using radial immunodiffusion (IgG-RID). Routine diagnosis is often performed using semi-quantitative tests. Concentrations of serum electrophoretic gamma globulins (EGG) and total globulins may be useful to assess FTPI, but few studies have investigated their use. OBJECTIVES: To assess agreement between IgG-RID and EGG, and evaluate the accuracy of total globulin concentration to diagnose FTPI based on both IgG-RID and EGG. STUDY DESIGN: Prospective study. METHODS: 360 serum samples were harvested at 6-24 hours post natum from 60 German Warmblood foals. Concentrations of EGG, IgG-RID and total globulin concentration (calculated from total proteins and albumin) were measured. Agreement between EGG and IgG-RID was assessed using Bland-Altman plots and Passing-Bablok regression. The accuracy of total globulin concentration was assessed using rank correlation and ROC curve analysis. RESULTS: Good agreement was found with slightly lower EGG than IgG-RID concentrations (Bland-Altman systemic bias, -1.9 g/L) which was more pronounced at higher concentrations (regression equation: IgG-RID = -0.78 +1.28xEGG). Correlations between total globulin concentration and EGG, and total globulin concentration and IgG-RID were 0.93 and 0.79, respectively. The area under the curve was 0.982 and 0.952 for EGG <4 g/L and <8 g/L, and 0.953 and 0.899 for IgG-RID <4 g/L and <8 g/L. Sensitivities and specificities of total globulin concentration in the diagnosis of FTPI were comparable to commonly used screening tests, but cut-offs could be selected to achieve sensitivities of >95% with 71.2% (IgG-RID) and 90.5% (EGG) specificity for <4 g/L, and >90% with 66.0% (IgG-RID) and 87.9% (EGG) specificity for <8 g/L. CONCLUSIONS: There is good agreement between EGG and IgG-RID, with slightly more conservative estimates of immunoglobulins obtained using EGG. Total globulins may be a useful and economic quantitative screening test with cut-offs achieving high sensitivities, but analyser-specific cut-offs may be necessary. This article is protected by copyright. All rights reserved. KEYWORDS: IgG; electrophoresis; foal; globulins; horse; radial immunodiffusion. This article is protected by copyright. All rights reserved.

Statistical analysis of the goodness of classical factor analysis regression (CFAR) /

Cover title.

OPTREG - an interactive computer program for optimization and regression. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

An analysis of the regression model for nonsaturating logic circuit analysis.

Also issued as thesis (M.S.) University of Illinois.

Forcing regression through a given point using any familiar computational routine /

"March 1983."

Modeling and interpreting interactive hypotheses in regression analysis /

Includes bibliographical references (p. 147-150) and index.

Maps of residuals from regression: their characteristics and uses in geographic research.

Bibliography: p. 59-60.