Methods We retrospectively analyzed the clinical files of all pediatric pts treated with omalizumab from December 2009 to July 2013. The evaluated parameters included: adverse reactions to omalizumab, clinical evolution, Asthma Control Test (ACT) and Severity Scoring of Atopic Dermatitis (SCORAD) score evolution and medication decrease. Statistical significance was defined by a p value in the a...

Many important questions in neuroscience are about interactions between neurons or neuronal groups. These interactions are often quantified by coherence, which is a frequency-indexed measure that quantifies the extent to which two signals exhibit a consistent phase relation. In this paper, we consider the statistical testing of the difference between coherence values observed in two experimenta...

We explain some basic theoretical issues regarding nonparametric statistics applied to inverse problems. Simple examples are used to present classical concepts such as the white noise model, risk estimation, minimax risk, model selection and optimal rates of convergence, as well as more recent concepts such as adaptive estimation, oracle inequalities, modern model selection methods, Stein’s unb...

abstract: the dust is one of the weather phenomena that have negative environmental effects and consequences. the central city of ahvaz in khuzestan province is one of cities that in every year witnessed the dust in its environment. in this study, after determining that the dust phenomena data are abnormal, using the sen's nonparametric model been proceed to modeling of changes and survey ...

This paper presents approximate confidence intervals for each function of parameters in a Banach space based on a bootstrap algorithm. We apply kernel density approach to estimate the persistence landscape. In addition, we evaluate the quality distribution function estimator of random variables using integrated mean square error (IMSE). The results of simulation studies show a significant impro...

climatic parameters in time and space scales of change are for many reasons of changes and how they should be based on observations using a statistical method to be determined. analysis of the most widely used statistical methods that assess potential climate change on hydrological time series, such series of precipitation, temperature and flow rate used. this study of 11 synoptic,rain gage and...

•Two semimetrics, ME and SCF, on distributions are based on the differences of analytic functions evaluated at spatial or frequency locations (i.e., features). •Proposal: choose the features so as to maximize the distinguishability of the distributions, by optimizing a lower bound on test power for a statistical test using these features. •Result: powerful, linear-time, nonparametric, interpret...

MOTIVATION Recently a class of nonparametric statistical methods, including the empirical Bayes (EB) method, the significance analysis of microarray (SAM) method and the mixture model method (MMM), have been proposed to detect differential gene expression for replicated microarray experiments conducted under two conditions. All the methods depend on constructing a test statistic Z and a so-call...

BACKGROUND Although some nonparametric methods have been proposed in the literature to test for the equality of median survival times for censored data in medical research, in general they have inflated type I error rates, which make their use limited in practice, especially when the sample sizes are small. METHODS In this paper, we propose a new nonparametric test with a simple test statisti...