Testing Goodness of Fit of Parametric AFT and PH Models with Residuals

In this article, we consider the problems of testing the goodness of fit of the parametric accelerated failure time model and the Cox proportional hazards model. We consider omnibus test statistics based on residuals. The statistical distributions of Kolmogorov, Cramer-von Mises–Smirnov, and Anderson–Darling statistics are all investigated by means of Monte Carlo simulations. Type-I, Type-II, and independent random censoring situations are all considered in this study. A Monte Carlo power study has also been carried out for these tests to distinguish between various baseline models, which reveals that the Anderson–Darling test performs better than the others.     

Do Legacy Industrial Sites Produce Legacy Effects in Ethnic and Racial Residential Settlement? Environmental Inequality Formation in Rhode Island’s Industrial Core1

This study advances understanding of environmental inequality by examining its production through the interaction of two ubiquitous and ongoing urban-ecological processes: industrial land-use changes and changing patterns of residential segregation. We employ longitudinal data from the Rhode Island Directory of Manufacturers (1953–2012) and tract-level US Census data measured at four panel-years (1980, 1990, 2000, and 2010) to study the effects of these interactions in Rhode Island’s historical industrial cities of Providence, Pawtucket, and Central Falls. Spatial patterning analysis and hybrid spatial panel modeling of residential exposure to active and legacy industrial sites in relation to ongoing racial and industrial change reveal two novel findings. First, we find a “legacy effect,” suggesting that the spatial organization of industrial activities prior to the study period has measurable impacts on patterns of residential segregation in later decades. Our results also indicate that over the study period Latinx and African-American residents have become increasingly less likely to bear disproportionate impacts of active manufacturing sites, despite very different spatial patterns of population growth. This is strong evidence that environmental inequality formation is a variable process in which historically distinct pathways can lead to similarly disproportionate exposure to environmental risk.     

Sequential Hazards Resilience of Interdependent Infrastructure System: A Case Study of Greater Toronto Area Energy Infrastructure System

Coupled infrastructure systems and complicated multihazards result in a high level of complexity and make it difficult to assess and improve the infrastructure system resilience. With a case study of the Greater Toronto Area energy system (including electric, gas, and oil transmission networks), an approach to analysis of multihazard resilience of an interdependent infrastructure system is presented in the article. Integrating network theory, spatial and numerical analysis methods, the new approach deals with the complicated multihazard relations and complex infrastructure interdependencies as spatiotemporal impacts on infrastructure systems in order to assess the dynamic system resilience. The results confirm that the effects of sequential hazards on resilience of infrastructure (network) are more complicated than the sum of single hazards. The resilience depends on the magnitude of the hazards, their spatiotemporal relationship and dynamic combined impacts, and infrastructure interdependencies. The article presents a comparison between physical and functional resilience of an electric transmission network, and finds functional resilience is always higher than physical resilience. The multiple hazards resilience evaluation approach is applicable to any type of infrastructure and hazard and it can contribute to the improvement of infrastructure planning, design, and maintenance decision making.     

Estimation of partially linear single-index additive hazards model with current status data

In this paper, we introduce a partially linear single-index additive hazards model with current status data. Both the unknown link function of the single-index term and the cumulative baseline hazard function are approximated by B-splines under a monotonicity constraint on the latter. The sieve method is applied to estimate the nonparametric and parametric components simultaneously. We show that, when the nonparametric link function is an exact B-spline, the resultant estimator of regression parameter vector is asymptotically normal and achieves the semiparametric information bound and the rate of convergence of the estimator for the cumulative baseline hazard function is optimal. Simulation studies are presented to examine the finite sample performance of the proposed estimation method. For illustration, we apply the method to a clinical dataset with current status outcome.     

Nonparametrics: The Early Years—Impressions and Recollections

In 1942 Wolfowitz introduced the term nonparametric into the statistical literature to call attention to the need for extending then-existing statistical theory beyond the customary parametric framework. Subsequently, statistical methods that did not depend on a strictly parametric setup became known as nonparametric methods. This article surveys developments in nonparametrics roughly up to 1960. The suggestion is made that statistics might be better served by eliminating the term nonparametric altogether from the statistical vocabulary.     

对防治家庭暴力的思考

家庭暴力是由封建文化的影响、社会变革引起的失衡、夫妻感情不和,以及社会控制乏力等原因引起的,不仅严重危害妇女的身心健康和社会稳定,而且可能给孩童起到不良示范作用,助长其暴力倾向.必须加大制裁力度,加强社会控制,增加家庭暴力的实施成本.此外,应通过广泛的宣传教育,消除家庭暴力的文化土壤；提高妇女的自身素质,培养其拒绝家庭暴力的能力.     

A corrected likelihood method for the proportional hazards model with covariates subject to measurement error

There has been extensive interest in discussing inference methods for survival data when some covariates are subject to measurement error. It is known that standard inferential procedures produce biased estimation if measurement error is not taken into account. With the Cox proportional hazards model a number of methods have been proposed to correct bias induced by measurement error, where the attention centers on utilizing the partial likelihood function. It is also of interest to understand the impact on estimation of the baseline hazard function in settings with mismeasured covariates. In this paper we employ a weakly parametric form for the baseline hazard function and propose simple unbiased estimating functions for estimation of parameters. The proposed method is easy to implement and it reveals the connection between the naive method ignoring measurement error and the corrected method with measurement error accounted for. Simulation studies are carried out to evaluate the performance of the estimators as well as the impact of ignoring measurement error in covariates. As an illustration we apply the proposed methods to analyze a data set arising from the Busselton Health Study [Knuiman, M.W., Cullent, K.J., Bulsara, M.K., Welborn, T.A., Hobbs, M.S.T., 1994. Mortality trends, 1965 to 1989, in Busselton, the site of repeated health surveys and interventions. Austral. J. Public Health 18, 129–135].     

南京市重大危险源安全与应急管理体系研究

本文论述了建立重大危险源安全与应急管理体系的必要性,对重大危险源的灾前安全管理和灾后应急处理进行了探讨,在分析南京市重大危险源和安全资源现状的基础上,对南京市重大危险源安全与应急管理体系进行了初步的构建,并对如何有效地利用安全资源进行了定性的分析     

公害犯罪之过失认定

近年来，我国各种领域的公害事件频发，严重危害了公众权益与社会秩序。这些公害事件多为过失引起的，传统过失理论的不足是导致公害犯罪打击不力的重要原因之一。公害犯罪在主观方面具有复杂性、模糊性和难以认知性等特征，在当今社会背景下新新过失理论相比于旧过失理论和新过失理论对于公害犯罪的打击更有针对性。此外，针对公害犯罪的独特性，还有必要在公害犯罪的过失认定中设定相对灵活、具体的注意义务与注意能力判断标准，以应对公害犯罪打防之需要。