Improved deviance goodness of fit statistics for a gamma regression model

A gamma regression model with an exponential link function for the means Is considered. Moment properties of the deviance statistics based on maximum likelihood and weighted least squares fits are used to define modified deviance statistics which provide alternative global goodness of fit tests. The null distribution properties of the deviances and modified deviances are compared with those of the approximating chi-square distribution and It is shown that the use of the modified deviances gives much better control over the significance levels of the tests.     

Umvu estimation for the cumulative hazard function in a pareto distribution of the first kind

The uniformly minimum variance unbiased estimator of the cumulative hazard function in the Pareto distribution of the first kind is derived. The variance of the estimator is also obtained in an analytic form, and for some cases its values are compared numerically with mean square errors of the maximum likelihood estimator.     

A stepwise approach for the purely periodic interaction spline model

The basic idea of an interaction spline model was presented in Barry (1983). The general interaction spline models were proposed by Wahba (1986). The purely periodic spline model, a special case of the general interaction spline models, is considered in this paper. A stepwise approach using generalized cross validation (GCV) for fitting the model is proposed. Based on the nice orthogonality properties of the purely periodic functions, the stepwise approach is a promising method for the interaction spline model. The approach can also be generalized to the non-purely-periodic spline models. But this is no done here.     

A Measure of partial association between disease and genotype for the two-parent problem

The two-parent disease-genotype association problem is studied from the point of view of a coefficient of association between the disease phenotype of the child and the disease phenotypes of the parents, in the presence of some genotypic information about the parents. This coefficient of partial association is derived, and certain tests of hypotheses are constructed. The results are shown to be useful in estimation of recurrence risks, and in understanding the nature of the association between child and parental disease phenotypes.     

An Extended Single‐index Model with Missing Response at Random

An extended single‐index model is considered when responses are missing at random. A three‐step estimation procedure is developed to define an estimator for the single‐index parameter vector by a joint estimating equation. The proposed estimator is shown to be asymptotically normal. An algorithm for computing this estimator is proposed. This algorithm only involves one‐dimensional nonparametric smoothers, thereby avoiding the data sparsity problem caused by high model dimensionality. Some simulation studies are conducted to investigate the finite sample performances of the proposed estimators.     

Empirical Likelihood Inference for the Rao‐Hartley‐Cochran Sampling Design

The Hartley‐Rao‐Cochran sampling design is an unequal probability sampling design which can be used to select samples from finite populations. We propose to adjust the empirical likelihood approach for the Hartley‐Rao‐Cochran sampling design. The approach proposed intrinsically incorporates sampling weights, auxiliary information and allows for large sampling fractions. It can be used to construct confidence intervals. In a simulation study, we show that the coverage may be better for the empirical likelihood confidence interval than for standard confidence intervals based on variance estimates. The approach proposed is simple to implement and less computer intensive than bootstrap. The confidence interval proposed does not rely on re‐sampling, linearization, variance estimation, design‐effects or joint inclusion probabilities.     

Higher-order Bayesian Approximations for Pseudo-posterior Distributions

The theory of higher-order asymptotics provides accurate approximations to posterior distributions for a scalar parameter of interest, and to the corresponding tail area, for practical use in Bayesian analysis. The aim of this article is to extend these approximations to pseudo-posterior distributions, e.g., posterior distributions based on a pseudo-likelihood function and a suitable prior, which are proved to be particularly useful when the full likelihood is analytically or computationally infeasible. In particular, from a theoretical point of view, we derive the Laplace approximation for a pseudo-posterior distribution, and for the corresponding tail area, for a scalar parameter of interest, also in the presence of nuisance parameters. From a computational point of view, starting from these higher-order approximations, we discuss the higher-order tail area (HOTA) algorithm useful to approximate marginal posterior distributions, and related quantities. Compared to standard Markov chain Monte Carlo methods, the main advantage of the HOTA algorithm is that it gives independent samples at a negligible computational cost. The relevant computations are illustrated by two examples.     

进展期胃癌术后三维适形放疗同步替吉奥化疗的临床观察

目的：探讨进展期胃癌术后三维适形放疗同步替吉奥化疗的不良反应及近期疗效。方法对32例进展期胃癌术后患者行同步放化疗：采用三维适形放疗（3DCRT）技术,靶区包括瘤床和区域淋巴引流区,放疗总剂量（ DT）46Gy/23Fx;同期口服替吉奥胶囊,60mg/次,2次/日,28天。观察毒性反应、肿瘤局部复发情况和1年生存率。结果32例患者随访率100％,1＋2、3级白细胞减少发生率分别为78．13％,15．63％;1＋2、3级恶心、呕吐发生率分别为62．50％、3．13％。1年总生存率、无复发生存率和局部控制率分别为87．50％,81．25％和90．63％。3例3级骨髓移制,1例3级恶心、呕吐,其余均为1～2级不良反应。结论进展期胃癌术后采用3DCRT联合替吉奥同步放化疗,患者不良反应可耐受,近期疗效较好。     

1980年代“译介热”与中国审美话语的本体自律

20世纪80年代的“译介热”通过引进西方现代文论资源,实现了对政治意识形态“工具论”“反映论”的反拨与对抗,与此同构的是审美自律的进程和审美本体的建构.“审美自律论”和“方法多元论”成为“译介热”的两个主要支点,共同参与现代性人学启蒙,促使了现代派文学的文本发现与形式自律.“审美自律论”促使了审美活动从外部的“他律”转向了审美的“自律”,形式主义文论、结构主义文论等在译介热中引入中国,纷纷促使了美学和文学批评从外部转向内部、从内容转向形式、从思想内涵转向话语革命.同时也直接启发了中国现代派文学和先锋小说的创作,激活了新时期以来潜藏的“形式化”冲动,从而使得形式和语言实验在80年代中后期的文学创作中焕发出愈加重要的作用.     

关于以德治国的理论思考

本文依次从道德与法律的关系、道德与市场经济的关系以及道德的继承与创新等三个方面,论证了以德治国的必要性。