On a multiple endpoints testing problem

In a clinical trial comparing drug with placebo, where there are multiple primary endpoints, we consider testing problems where an efficacious drug effect can be claimed only if statistical significance is demonstrated at the nominal level for all endpoints. Under the assumption that the data are multivariate normal, the multiple endpoint-testing problem is formulated. The usual testing procedure involves testing each endpoint separately at the same significance level using two-sample t-tests, and claiming drug efficacy only if each t-statistic is significant. In this paper we investigate properties of this procedure. We show that it is identical to both an intersection union test and the likelihood ratio test. A simple expression for the p-value is given. The level and power function are studied; it is shown that the test may be conservative and that it is biased. Computable bounds for the power function are established.     

时代主流话语里的艰难表达——浅论肖洛霍夫对孙犁创作的影响

作为20世纪中国文学史上一个颇具个性和复杂性的存在，孙犁显然受到过始终游离于中心和边缘之间的苏联作家肖洛霍夫的影响。孙犁从坚守知识分子独立立场、热烈追求人道主义、深情眷念故土乡亲等三个方面接受和借鉴了肖洛霍夫的人生观和创作经验，进而形成了自己独具特色的创作风格。     

追寻早期华工的历史足迹——以艾尔松《爱达荷华人往事》为例

北美早期华工研究的最大困难是缺乏他们的文献材料。艾尔松修女以数十年之力,通过系统地查阅当年的报刊,追寻早期华工在北美大地上的踪迹,撰成《爱达荷华人往事》一书,为我们提供了一幅栩栩如生的北美早期华人移民生活的画卷。     

毛泽东对马克思主义中国化思想的重大贡献

在长期的中国革命与建设中，毛泽东同志把马克思主义与中国具体实践相结合，为推进马克思主义中国化贡献了自己的力量。毛泽东同志关于马克思主义中国化的思想主要包括了科学揭示马克思主义中国化的含义，不断探索马克思主义中国化的途径，努力把握马克思主义中国化的规律等几个方面。研究毛泽东的马克思主义中国化思想，有助于在新时期不断推进马克思主义中国化的进程。     

A study of BIB designs through support matrices

This paper deals with the existence and nonexistence of BIB designs with repeated blocks. The approach is an algebraic one. The concept of a support matrix is introduced and some of its basic properties are noted. Some basic examples of support matrices are given when the block size is 3. The connection between full column rank proper support matrices and irreducible designs is explored and some examples of such matrices are given.     

Some new factor screening designs using the search linear model

Factor screening designs for searching two and three effective factors using the search linear model are discussed. The construction of such factor screening designs involved finding a fraction with small number of treatments of a 2^m factorial experiment having the property P_2t (no 2t columns are linearly dependent) for t=2 and 3. A ‘Packing Problem’ is introduced in this connection. A complete solution of the problem in one case and partial solutions for the other cases are presented. Many practically useful new designs are listed.     

On Christensen's conjecture

In this paper we give solution to a conjecture appearing in Christensen (1997, p. 360) in relation to the definitions of standardized residuals in loglinear models. Work done when he was visiting as the Distinguished Lukacs Professor on leave from the Complutense University of Madrid. An erratum to this article is available at .     

Minimum contrast estimation of random processes based on information of second and third orders

This paper presents the results on consistency and asymptotic normality of a class of minimum contrast estimators for random processes with short- or long-range dependence based on the second- and third-order cumulant spectra. Asymptotic properties of sample spectral functionals of second and third orders, which are of independent interest in view of their possible use for nonparametric estimation of processes with short- or long-range dependence, are also provided.     

A multivariate version of Gini's rank association coefficient

In this paper, we introduce a multivariate generalization of the population version of Gini's rank association coefficient, giving a response to this open question posed in [4]. We also study some properties of this version, present the corresponding results for the sample statistic, and provide several examples.     

A lower-bound oracle inequality for a blockwise-shrinkage estimate

Efromovich-Pinsker and Stein blockwise-shrinkage estimates are traditionally studied via upper-bound oracle inequalities, which bound the estimate's risk from above by the oracle's risk plus a remainder term. These bounds allow one to establish sufficient conditions for attaining the oracle's risk. To explore necessary conditions, this article develops a lower-bound oracle inequality, which bounds the estimate's risk from below by the oracle's risk minus a remainder term. In particular, the lower bound implies that thresholds must vanish for attaining the oracle's risk.