Regression analysis of case-cohort studies in the presence of dependent interval censoring

The case-cohort design is widely used as a means of reducing the cost in large cohort studies, especially when the disease rate is low and covariate measurements may be expensive, and has been discussed by many authors. In this paper, we discuss regression analysis of case-cohort studies that produce interval-censored failure time with dependent censoring, a situation for which there does not seem to exist an established approach. For inference, a sieve inverse probability weighting estimation procedure is developed with the use of Bernstein polynomials to approximate the unknown baseline cumulative hazard functions. The proposed estimators are shown to be consistent and the asymptotic normality of the resulting regression parameter estimators is established. A simulation study is conducted to assess the finite sample properties of the proposed approach and indicates that it works well in practical situations. The proposed method is applied to an HIV/AIDS case-cohort study that motivated this investigation.     

Semiparametric model for regression analysis with nonmonotone missing data

Statistical Methods & Applications - Semiparametric likelihoods for regression models with missing at random data (Chen in J Am Stat Assoc 99:1176–1189, 2004, Zhang and Rockette in J Stat...     

The Belt and Road and the Rediscovery of Reciprocity-Based Anthropology*

Reciprocity has core significance for understanding basic human living conditions: our social nature is founded on reciprocal relations, and reciprocity strengthens the ties between people. Reciprocity-based anthropology is a kind of cultural logic, one that stresses the interaction between different groups. Fundamentally, it involves studying forms of the mutually beneficial relations involved in complementary differences. This perspective reconciles differences, creating a communicative space for diverse cultures’ coexistence, symbiosis and sharing. The various channels formed through human activity include ways in and ways out, constant incomings and outgoings, the coexistence of different cultures, ways of life and ideas, and complementarity. The launching of the Belt and Road Initiative includes channels with multiple characteristics and functions, so research on this topic involves the analysis of society and culture based on roadways rather than locations.     

Modeling Finite‐Time Failure Probabilities in Risk Analysis Applications

In this article, we introduce a framework for analyzing the risk of systems failure based on estimating the failure probability. The latter is defined as the probability that a certain risk process, characterizing the operations of a system, reaches a possibly time‐dependent critical risk level within a finite‐time interval. Under general assumptions, we define two dually connected models for the risk process and derive explicit expressions for the failure probability and also the joint probability of the time of the occurrence of failure and the excess of the risk process over the risk level. We illustrate how these probabilistic models and results can be successfully applied in several important areas of risk analysis, among which are systems reliability, inventory management, flood control via dam management, infectious disease spread, and financial insolvency. Numerical illustrations are also presented.     

小学品德教材主题及内容分布对比研究

在新一轮基础教育改革的背景下,多种版本的品德教材进入了教学实践.为考察不同版本的品德教材特点,本文在义务教育阶段品德教材语料库的基础上,以主题及特征词为统计分析对象,对不同版本教材内容与课程标准的拟合情况,以及不同版本教材的各自特色和优劣势进行了实态分析与描述,旨在为教材的编写提供参考建议.     

基于BP神经网络的油气产量历史预测

分析了常规油田开发模型所存在的问题;探讨了应用神经网络技术进行油气产量历史预测的可行性。油田实际资料验证评价结果表明:该法模拟预测精度高,效果好,简单实用,不失为油气产量动态预测的一条新途径。     

HDDA: DataSifter: statistical obfuscation of electronic health records and other sensitive datasets

There are no practical and effective mechanisms to share high-dimensional data including sensitive information in various fields like health financial intelligence or socioeconomics without compromising either the utility of the data or exposing private personal or secure organizational information. Excessive scrambling or encoding of the information makes it less useful for modelling or analytical processing. Insufficient preprocessing may compromise sensitive information and introduce a substantial risk for re-identification of individuals by various stratification techniques. To address this problem, we developed a novel statistical obfuscation method (DataSifter) for on-the-fly de-identification of structured and unstructured sensitive high-dimensional data such as clinical data from electronic health records (EHR). DataSifter provides complete administrative control over the balance between risk of data re-identification and preservation of the data information. Simulation results suggest that DataSifter can provide privacy protection while maintaining data utility for different types of outcomes of interest. The application of DataSifter on a large autism dataset provides a realistic demonstration of its promise practical applications.     

长三角青年与民生公共服务一体化——基于对长三角城市群在职青年的调查

民生公共服务一体化是长三角一体化发展国家战略的重要组成部分,也是长三角高质量一体化发展的基础。长三角城市群在职青年对于长三角民生公共服务一体化体验感受最深的是交通一体化,其他领域的民生公共服务一体化仍需大力推进。为此,长三角三省一市需协同创新,联合采取有效措施进一步推进和加强长三角民生公共服务一体化建设,同时要加大长三角一体化发展国家战略在青年中的宣传力度,引导激励广大青年积极参加长三角城市群民生公共服务的共建共享,为长三角民生公共服务一体化注入新的动力和活力。     

试论歌德创作的两面性

文章从歌德思想性格的二重性,18世纪德国社会政治背景的特殊性,以及文学史角度等三个方面,探讨歌德创作中贯穿始终的两面性问题,以对其作出比较合理的解释。