Figure 2: Analysis output of localized H-MRS spectra from the right node of patient 9. The in vivo spectrum (thin grey curve) has been estimated with the LCModel output (thick red curve), and the difference of these spectra (residue) is plotted at the top. Cho, choline. Figure 3: Scatterplot displaying Cho/W concentrations (arbitrary units) as function of FDG uptake (g/mL). The linear regressio...

Abstract We use national Living Standards Measurement Study (LSMS) datasets from Nigeria, Tanzania, and Uganda to examine consumption by the rural urban poor of “unhealthy foods” (including ultra‐processed foods such as sweets sugary beverages) versus “healthy beyond starchy staples (such vegetables, beans, animal products, fruits). Consumption processed nonstaples is often associated in policy...

This study offers a new technique for constructing percentile bootstrap intervals to predict the regression of univariate local polynomials. Bootstrap uses resampling derived from paired and residual methods. The main objective this is perform comparative analysis between two methods by considering nominal coverage probability. Resampling nonparametric with return method, where each sample poin...

This vignette show how piecewise constant P-splines [1] can be used for normalization of either singleor two-colour data. The pspline()-function can be used for two-colour data objects of type RGList and MarrayRaw from respectively from limma [2] and from the package marray . For single colour microarray data wrapper functions are writting based on the affy [3] functions normalize.loess() and n...

This paper estimates an additive model semiparametrically, while automatically selecting the significant independent variables and the app~opriatc power transformation of the dependent variable. The nonlinear variables arc modeled as regression splincs, with significant knots selected fiom a large number of candidate knots. The estimation is made robust by modeling the errors as a mixture of no...

Project Abstract : This thesis aims to develop better tools for microarray data analysis, thus reducing the false discovery rate. Microarray experiments have many sources of systematic variation which affect the measured gene expression levels. Normalization is the name of the process which is used to describe the process of removing such variation. Out of all the existing normalization process...

Weighted Myriad Smoothers have recently been proposed as a class of nonlinear l-ters for robust non-Gaussian signal processing in impulsive noise environments. However , weighted myriad smoothers are severely limited, since their weights are restricted to be non-negative. This constraint makes them unusable in bandpass or highpass ltering applications which require negative lter weights. Furthe...