Since Sir Francis Galton presented his rudimentary idea of regression line in 1877, regression analysis has become a center of statistical analysis in both observational studies and experimental studies. With the advance of computational environment, more generalized and sophisticated models than simple linear regression, such as multivariate, polynomial, exponential, logistic, time-series, sem...

Deletion diagnostics are introduced for the regression analysis of clustered binary outcomes estimated with alternating logistic regressions, an implementation of generalized estimating equations (GEE) that estimates regression coefficients in a marginal mean model and in a model for the intracluster association given by the log odds ratio. The diagnostics are developed within an estimating equ...

BACKGROUND Busulfan (Bu) requires therapeutic drug monitoring (TDM) in subjects undergoing a conditioning regimen for hematopoietic stem cell transplantation (HSCT). To speed up the procedure and increase reproducibility, we improved our routine LC-MS/MS assay using the on-line solid-phase extraction (SPE) of samples. METHODS A protein precipitation (PP) step was performed before the on-line ...

To validate the HPLC determination of the active pharmaceutical ingredient TAMO in tablets a first calibration set, I, (Table 1, 2nd line) was measured. The experimentally obtained counts are listed in Table 1, 3rd line. In this challenge we tested whether you could detect an outlier in the linear regression function. An outlier shows an unusually high or low residual. The residuals ei are the ...

In a water distribution system (WDS), chlorine disinfection is important in preventing the spread of waterborne diseases. By strictly controlling residual chlorine throughout the WDS, water quality managers can ensure the satisfaction and safety of their customers. However, due to the travel time of water between the chlorine dosing point and any strategic monitoring points, water treatment pla...

In this work we deal with the mathematical analysis and application of piecewise (or segmented) polynomial regression. Motivated by an application in neurobiology we allow the residual processes of our model to exhibit long memory, short memory or antipersistence. As a solid biological background is essential for understanding the application in this work, we start with an introduction to neuro...

The R package groc for generalized regression on orthogonal components contains functions for the prediction of q responses using a set of p predictors. The primary building block is the grid algorithm used to search for components (projections of the data) which are most dependent on the response. The package offers flexibility in the choice of the dependence measure which can be user-defined....

BACKGROUND Good maps of malaria risk have long been recognized as an important tool for malaria control. The production of such maps relies on modelling to predict the risk for most of the map, with actual observations of malaria prevalence usually only known at a limited number of specific locations. Estimation is complicated by the fact that there is often local variation of risk that cannot ...

The paper proposes two inferential tests for error correlation in the functional linear model, which complement the available graphical goodness-of-fit checks. To construct them, finite dimensional residuals are computed in two different ways, and then their autocorrelations are suitably defined. From these autocorrelation matrices, two quadratic forms are constructed whose limiting distributio...