The Role of Cancer Risk in the Regulation of Industrial Pollution

The extent of carcinogen regulation under existing U.S. environmental statutes is assessed by developing measures of the scope and stringency of regulation. While concern about cancer risk has played an important political role in obtaining support for pollution control programs, it has not provided the predominant rationale for most regulatory actions taken to date. Less than 20% of all standards established to limit concentrations of chemicals in various media address carcinogens. Restrictions on chemical use are more frequently based on concerns about noncancer human health or ecological effects. Of the chemicals in commercial use which have been identified as potential human carcinogens on the basis of rodent bioassays, only a small proportion are regulated. There is an inverse relationship between the scope of regulatory coverage and the stringency of regulatory requirements: the largest percentages of identified carcinogens are affected by the least stringent requirements, such as information disclosure. Standards based on de minimis cancer risk levels have been established for only 10% of identified carcinogens and are restricted to one medium: water. Complete bans on use have affected very few chemicals. The general role that carcinogenicity now plays in the regulatory process is not dramatically different from that of other adverse human health effects: if a substance is identified as a hazard, it may eventually be subject to economically achievable and technically feasible restrictions.     

Optimal sampling for repeated binary measurements

The authors consider the optimal design of sampling schedules for binary sequence data. They propose an approach which allows a variety of goals to be reflected in the utility function by including deterministic sampling cost, a term related to prediction, and if relevant, a term related to learning about a treatment effect To this end, they use a nonparametric probability model relying on a minimal number of assumptions. They show how their assumption of partial exchangeability for the binary sequence of data allows the sampling distribution to be written as a mixture of homogeneous Markov chains of order k. The implementation follows the approach of Quintana & Müller (2004), which uses a Dirichlet process prior for the mixture.     

试论建筑防灾中的人群管理和应急管理

从社会心理学和行为心理学视角分析紧急灾难情况下人群的心理反应,阐明控制人群恐慌的人群管理方法,并结合国内外实例从正反两个方面说明人群管理方法在建筑防灾方面的有效性,进一步论述了应急管理在国内的发展方向和重点。     

Factors associated with expectation of household's future financial condition

Path analysis is used to examine the causal relationships among selected objective and subjective factors associated with a household's expectation of future financial condition. Results indicate that respondents who perceive the effect of changes in the external environment on their own household's financial condition as positive are younger, have higher net worth, perceive more internal control over their situation, and report that most of the changes in the external environment are positive. Respondents who are younger, have higher income, perceive more internal control over their situation, and believe the effect of changes in the external environment on their household's financial condition are positive are more likely to be optimistic about their financial future. It is important that educators and financial advisors recognize the significant role perception of being in control plays in determining expectations of future financial condition.Journal Paper No. J-15256 of the Iowa Agriculture and Home Economics Experiment Station, Project No. 2809. Data were collected in conjunction with the cooperative regional research project NC-182, Family Resource Utilization as a Factor in Determining Economic Well-Being of Rural Families. Cooperating states are Arizona, California, Illinois, Indiana, Iowa, Kansas, Michigan, and Minnesota.Her current research interests include family financial management and consumer bankruptcy; she received her Ph.D. from the University of Missouri.She received her Ph.D. from the University of Illinois; her current research interests include gender roles, family financial management, and economic well-being.She received her Ph.D. from the University of Illinois. Her research interests are economic well-being and quality of life.Her current research interests include the economic well-being of various family forms. She received her Ph.D. from the University of Illinois.     

以公共政策为导向的户外广告规划研究——《深圳市户外广告设置指引》的探索

为了提升城市户外广告环境品质,改进规划工作的不足,提出以公共政策为导向的户外广告规划研究方法。在《深圳市户外广告设置指引》的编制实践中,通过多视角的目标建构、"规范"加"规划"的导控策略以及"手册式"的成果表达手段,取得了良好的实践效果。因此提出:为了提高户外广告规划成果的可操作性,增强实施实效性,必须正确认识户外广告的双重属性,将规划工作从传统的技术导向转变为以公共政策导向,做到导控中的因势"利导"与"力导"。     

主族控制下的族群杂居村落:权力的文化网络视角

本文借助“权力的文化网络”视角,深层再现云南省一个少数民族山区--蚌岚河槽（村庄）传统主族控制和毕摩操控的村落政治格局。作者认为,1949年以前槽区的社会政治局面是主族控制和毕摩操控,主族及其首领毕摩依靠乡村文化网络获得权威和认受性,他们在权力的文化网络中发挥着组织领导的作用,凭借对乡村文化网络（族群内部的宗族关系和宗教信仰以及族群关系等）的操控,主族及其首领毕摩有力地控制着乡村社会。     

网络内容的技术控制模式建构与评析

基于维纳的经典控制模式,依照接入控制、过滤控制、编辑控制、分析控制四个流程,尝试建构了网络内容的技术控制模式。此模式着眼于复杂的网络传播环境,反映了多传播时代的多向反馈,体现了效果/批判的范式融合,综合了立体多元的控制手段。     

On the Breslow–Holubkov estimator

Breslow and Holubkov (J Roy Stat Soc B 59:447–461 1997a) developed semiparametric maximum likelihood estimation for two-phase studies with a case–control first phase under a logistic regression model and noted that, apart for the overall intercept term, it was the same as the semiparametric estimator for two-phase studies with a prospective first phase developed in Scott and Wild (Biometrica 84:57–71 1997). In this paper we extend the Breslow–Holubkov result to general binary regression models and show that it has a very simple relationship with its prospective first-phase counterpart. We also explore why the design of the first phase only affects the intercept of a logistic model, simplify the calculation of standard errors, establish the semiparametric efficiency of the Breslow–Holubkov estimator and derive its asymptotic distribution in the general case.     

经济预测中的Monte Carlo模拟及方差控制——以国际石油价格预测为例

从MDnte Carlo模拟的实现过程入手，首先通过对Monte Carlo方法原理的阐述来介绍该种方法。进一步结合具体的实例通过计算机进行模拟来解释Monte Carlo方法的具体实现过程。重点讨论在选择合理的数据生成过程的前提下，如何在Monte Carlo方法中减少模拟方差，从而提高估计精度，更好地应用这种方法来进行经济预测。     

Optimal design of clinical trials comparing several treatments with a control

Clinical trials are often designed to compare several treatments with a common control arm in pairwise fashion. In this paper we study optimal designs for such studies, based on minimizing the total number of patients required to achieve a given level of power. A common approach when designing studies to compare several treatments with a control is to achieve the desired power for each individual pairwise treatment comparison. However, it is often more appropriate to characterize power in terms of the family of null hypotheses being tested, and to control the probability of rejecting all, or alternatively any, of these individual hypotheses. While all approaches lead to unbalanced designs with more patients allocated to the control arm, it is found that the optimal design and required number of patients can vary substantially depending on the chosen characterization of power. The methods make allowance for both continuous and binary outcomes and are illustrated with reference to two clinical trials, one involving multiple doses compared to placebo and the other involving combination therapy compared to mono-therapies. In one example a 55% reduction in sample size is achieved through an optimal design combined with the appropriate characterization of power.