Pharmacogenetics is the study of the genetic basis for variation in drug response. In this broadest sense, pharmacogenetics encompasses pharmacogenomics, which employs tools for surveying the entire genome to assess multigenic determinants of drug response. Until the technical advances in genomics of the last few years, pharmacogenetics proceeded using a forward genetic, phenotype-to-genotype a...

Image variability that is impossible or difficult to restore by intra-image processing, such as the variability caused by occlusions, significantly reduces the performance of image-recognition methods. To address this issue, we propose that the pixels associated with large distances obtained by inter-image pixel-by-pixels comparisons should be considered as inter-image outliers and should be re...

In the papers (Pupeikis, 1988a, bi 1989a, b, c) the problems of efficiency determination, stopping and increase of the effectiveness of asymptotically optimal recursive algorithms are considered respectively by means of estimating time delay in an object and also introducing their robust analogues, stable to outliers in observations. The aim of the given paper is the development of the robust m...

Many different methods for statistical data editing can be found in the literature but only few of them are based on robust estimates (for example such as BACON-EEM, Epidemic algorithms (EA) and Transformed rank correlation (TRC) methods of Béguin and Hulliger). However, we can show that outlier detection is only reasonable if robust methods are applied, because the classical estimates are them...

• Although relatively robust to the following, ANOVA assumes • Normal distribution of residuals • Variation in each group is similar • ANOVA is sensitive to outliers, and transforms of the data may be necessary • ANOVA is a test of group differences: do at least two of the means differ from each other? • Two-way ANOVA tests a number of sources of variability • It is important to know which sour...

INTRODUCTION With the ease provided by current computational programs, medical and scientific journals use bar graphs to describe continuous data. METHODS This manuscript discusses the inadequacy of bars graphs to present continuous data. RESULTS Simulated data show that box plots and dot plots are more-feasible tools to describe continuous data. CONCLUSIONS These plots are preferred to r...

We forecast US GDP and inflation over 1-, 4and 8-step horizons using the dataset from Stock and Watson (2009), with factors, variables, both, and neither. Autometrics handles perfect collinearity and more regressors than observations, enabling all principal components and variables to be included for model selection, jointly with using impulse-indicator saturation (IIS) for multiple breaks. Emp...

The coefficient of the variation function is a useful descriptive statistic, especially when comparing variability more than two curve groups, even they have significantly different mean curves. Since ratio and standard deviation functions, its particular property that it shows acceleration explicitly function. aim study twofold: to show functional sensitive abrupt changes propose utilisation a...

We test the gamma-ray burst correlation between temporal variability and peak luminosity of the γ-ray profile on a homogeneous sample of 36 Swift/BAT GRBs with firm redshift determination. This is the first time that this correlation can be tested on a homogeneous data sample. The correlation is confirmed, as long as the 6 GRBs with low luminosity (< 5× 10 erg s in the rest-frame 100-1000 keV e...