A two stage procedure for selecting δ∗-optimal means in the normal model

Suppose π₁,…,π_k are k normal populations with π_i having unknown mean μ_i and unknown variance σ². The population π_i will be called δ^?-optimal (or good) if μ_i is within a specified amountδ? of the largest mean. A two stage procedure is proposed which selects a subset of the k populations and guarantees with probability at least P^? that the selected subset contains only δ?-optimal π_i ’s. In addition to screening out non-good populations the rule guarantees a high proportion of sufficiently good π_i’S will be selected.     

Biopharmaceutical applications of group sequental designs

Methods are described for calculating the properties of a general class of group sequential designs. The procedures are based on direct enumeration of a11 possible outcomes thereby giving exact results. The test regions of these designs are closed, may be one- or two-sided and may include a variable number of groups or stages. The methods described can be applied in experimental situations where the responses can be dichotomized or ranked. Specific examples which are given to illustrate the procedures include drug screening, laboratory evaluation, and clinical trials.     

Combining Robust and Traditional Least Squares Methods: A Critical Evaluation

The combination of robust and least squares procedures has frequently been recommended as a useful strategy for constructing models. The application of this strategy to a real-world data set resulted in a model with an incorrect functional form. Additional in-depth investigations into the nature of the application, combined with data-error corrections, made possible the construction of a satisfactory model. The results of the modeling activity were evaluated in terms of model face-validity, the predictive performance on a holdout data set, and the ability to meet user requirements. The findings of this study demonstrate the danger of model-form misspecification when one mistakenly assumes that the combination of robust and least squares procedures compensates for a lack of knowledge about the processes underlying the generation of the data.     

Adaptive sequential procedures for comparing new treatments with a standard

In this paper we propose and study two sequential elimination procedures for selecting all new treatments better than a standard or control treatment. These procedures differ from those previously proposed in that we assume variances are unequal and unknown. Expressions for asymptotic expected sample sizes are given. Confidence intervals associated with the procedures are also discussed.     

审查起诉制度刍议

文章通过对起诉条件和立案要求的分析,剖析了审查起诉内容的实体法律性质,在比较国外民事起诉制度的基础上,对我国审查起诉制度进行了深刻地理性反思,并指出,现行审查起诉制度缺少正当性和合理性,严重侵犯了当事人的诉权。      

论合同解除的溯及力问题

作为合同解除的法律后果之一的合同解除是否具有溯及力问题是民法学者长期争论的焦点之一.无论从微观上还是从宏观上看,明确合同解除是否具有溯及力都具有重大的现实意义.     

法、德、日三国民事再审程序的比较研究

民事诉讼再审程序(civil retrial procedure)主要存在于以法国、德国和日本为典型代表的大陆法系国家.法、德、日三国民事再审程序的具体制度虽然有所不同,但三国都将再审规定为一种规范的再审之诉,对提起再审的法定事由都作了明确、具体的规定,而且对当事人提起再审之诉都作了严格限制.借鉴三国民事再审制度的有益经验,对完善我国民事再审程序有积极的作用.     

On gehan's wilcoxon and the accelerated failure time model

A proof is provided to show that Gehan's 1965 generalization of the two sample Wilcoxon test lies outside the class of efficient score procedures for right censored data (Prentice 1978).     

A decision-theoretic approach to subset selection

The multiple decision problem of selecting a random non-empty subset of populations, out of k populations, that are close in some sense to the best population is considered in a decision-theoretic framework. Uniformly optimal procedures for non-negative semi-additive loss are derived. A class of likelihood-ratio type of procedures is shown to be admissible for monotone additive loss.     

Analysis of the cross-effects in a cross-lagged panel study

Panel studies are statistical studies in which two or more variables are observed for two or more subjects at two or more points in time. Cross-lagged panel studies are comprised of continuous variables which divide naturally into two sets, and otten the primary statistical issue Is to estimate and test the cross-effects which indicate the degree to which each set is related to the other over time. By taking a regression approach to modeling the relationships, we apply multivariate regression methodology to make inferences about the regression coefficients in a cross-lagged panel model. In particular we develop a test of the hypothesis that the regression coefficients indicating the cross-effects are equal and develop simultaneous confidence bounds for various linear combinations of these regression coefficients.