A Nonparametric Test For Independence Of A Multivariate Time Series

This paper develops a general nonparametric test for the null hypothesis that the vector of time series under scrutiny is temporally and cross sectionally independent. The null class of the models can be extended to include weak dependence. This test can be used to test the adequacy of a fitted model. As an application of the test we show how we test diagnostically a vector auto regressive model fitted to the given data. This procedure is legitimate because the first order asymptotic distribution of the test statistic is robust to the estimated residual vector

覆髄剤としてのLL37の有用性に関する基礎的研究

広島大学(Hiroshima University)博士(歯学)Doctor of Philosophy in Dental Sciencedoctora

Preparation of 2-directional gradient surfaces for the analysis of cell-surface interactions

Washington, US

Porous silicon microparticles as an alternative support for solid phase DNA synthesis

Washington, US

Porous silicon microparticles as an alternative support for solid phase DNA synthesis

Washington, US

Recovery of methamphetamine associated cardiomyopathy predicted by late gadolinium enhanced cardiovascular magnetic resonance

Methamphetamine is known to cause a cardiomyopathy which may be reversible with appropriate medical therapy and cessation of use. Late gadolinium enhancement cardiovascular magnetic resonance (CMR) has been shown to identify fibrosis in ischemic and non-ischemic cardiomyopathies. We present a case of severe methamphetamine-associated cardiomyopathy in which cardiac function recovered after 6 months. Evaluation by CMR using late gadolinium enhancement was notable for an absence of enhancement, suggesting an absence of irreversible myocyte injury and a good prognosis. CMR may be useful to predict recovery in toxin-associated non-ischemic cardiomyopathies