The purpose of this study was to determine the level of interobserver and test-retest reliability of the Milani-Comparetti Motor Development Screening Test. Sixty healthy children, aged 1 through 16 months, were videotaped during administration of the Milani-Comparetti test. Four pediatric physical therapists independently viewed each videotape and scored the responses. Interobserver reliabilit...

There are a number of polymorphism-based statistical tests of neutrality, but most of them focus on either the amount or the pattern of polymorphism. In this article, a new test called the two-dimensional (2D) test is developed. This test evaluates a pair of summary statistics in a two-dimensional field. One statistic should summarize the pattern of polymorphism, while the other could be a meas...

Gene expression data from microarrays have been successfully applied to class prediction, where the purpose is to classify and predict the diagnostic category of a sample by its gene expression profile. A typical microarray dataset consists of expression levels for a large number of genes on a relatively small number of samples. As a consequence, one basic and important question associated with...

1 The central theme in case-control genetic association studies is to efficiently identify genetic markers associated with case-control status. Powerful statistical methods are critical to accomplishing this goal. A popular statistical method is the model-free Pearson's chi-square test. To achieve increased power, model-based tests have been widely used despite their lack of robustness to model...

In this paper alternative approaches for testing the unit root hypothesis in panel data are considered. First, a robust version of the Dickey-Fuller t-statistic under contemporaneous correlated errors is suggested. Second, the GLS t-statistic is considered, which is based on the t-statistic of the transformed model. The asymptotic power of both tests against a sequence of local alternatives is ...

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...