We have developed a single nucleotide polymorphism (SNP) association scan statistic that takes into account the complex distribution of the human genome variation in the identification of chromosomal regions with significant SNP associations. This scan statistic has wide applicability for genetic analysis, whether to identify important chromosomal regions associated with common diseases based o...

We propose a systematic method for testing and identifying a subgroup with an enhanced treatment effect. We adopts a change-plane technique to first test the existence of a subgroup, and then identify the subgroup if the null hypothesis on non-existence of such a subgroup is rejected. A semiparametric model is considered for the response with an unspecified baseline function and an interaction ...

Given n independent, identically distributed random vectors in R, drawn from a common density f , one wishes to find out whether the support of f is convex or not. In this paper we describe a decision rule which decides correctly for sufficiently large n, with probability 1, whenever f is bounded away from zero in its compact support. We also show that the assumption of boundedness is necessary...

We have developed a scan statistic for detecting clusters of functional data indexed in space. The method is based on distribution-free spatial univariate data. In simulation study, it always performed better than nonparametric statistic. proposed can detect smaller the method. Lastly, we used our to search abnormal unemployment rates France over period 1998–2013 (divided into quarters).

The log-likelihood ratio (LLR) and the chi-squared distribution based test statistics have been proposed in the literature for performing statistical analysis of key recovery attacks on block ciphers. A limitation of the LLR test statistic is that its application requires the full knowledge of the corresponding distribution. Previous work using the chi-squared approach required approximating th...

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...

This paper presents a test of independence that can be applied to the estimated residuals of any time series model that can be transformed into a model driven by independent and identically distributed errors. The rst order asymptotic distribution of the test statistic is independent of estimation error provided that the parameters of the model under test can be estimated p n{consistently. Beca...