Levels and causes of mortality in mothers and babies are intrinsically linked, occurring at the same time and often to the same mother-baby dyad, although mortality rates are substantially higher in babies. Measuring levels, trends and causes of maternal, neonatal and foetal mortality are important for understanding priority areas for interventions and tracking the success of interventions at t...

This paper constructs a composite leading index for business cycle prediction based on vine copulas that capture the complex pattern of dependence among individual predictors. This approach is optimal in the sense that the resulting index possesses the highest discriminatory power as measured by the receiver operating characteristic (ROC) curve. The model specification is semi-parametric in nat...

We present a semi-parametric generative model for predicting anatomy of a patient in subsequent scans following a single baseline image. Such predictive modeling promises to facilitate novel analyses in both voxel-level studies and longitudinal biomarker evaluation. We capture anatomical change through a combination of population-wide regression and a non-parametric model of the subject's healt...

This paper investigates the predictive ability of financial variables for real growth in the euro area through bivariate and multivariate non-parametric Granger causality tests. Apart from assessing the within-country forecasting ability of commonly-employed financial variables, such as the term spread, the stock market returns and the growth of real money supply, we also test for cross-country...

This paper presents a non-parametric approach for the selection of items in a scale for screening, with the score defined as the sum of item response indicators. Without specifying parametric models for binary classification probabilities, the proposed item selection method evaluates the change in classification accuracy due to adding or deleting one item for a scale with k items. It first remo...

Business Complexity is an abstraction for typical business-process problems un-resolvable by simple methods either through logical statementimplications or through mathematical methods or even statistical analysis or Database systems with statistical tools and it is a very strange fabric of Business-Rules verses Outcomes in terms of Commercial parameters such as profitability or credentials or ...

This paper suggests bivariate semiparametric index models as a tool for modelling the interplay of socioeconomic and health characteristics in determining health-care utilisation. These models allow for a fully nonparametric relationship between socioeconomic status, health-care need and care utilisation. The only parametric restriction imposed is that multiple socioeconomic and health indicato...

Background: Under rainfall conditions, grain yield stability is one of the most important objectives breeding programs, especially in diverse environments. such analysis offers best solution for relative performance genotypes over The aims this study are selection adapted and stable bread wheat based on using some parametric non-parametric index. Methods: experiment was conducted during four co...

OBJECTIVE To position the concept of sustainability within the context of food security. DESIGN An overview of the interrelationships between food security and sustainability based on a non-systematic literature review and informed discussions based principally on a quasi-historical approach from meetings and reports. SETTING International and global food security and nutrition. RESULTS T...

OBJECTIVE To investigate inequalities in personal health conditions and in the utilization of healthcare services according in relation to the individual's status in the labor market. METHODS This study was based on 39,925 males aged 15 to 64 years living in 10 Brazilian metropolitan regions, who took part in the 1998 National Household Survey. They were classified as formal labor, informal l...