A Proportional Hazards Regression Model for the Subdistribution with Covariates‐adjusted Censoring Weight for Competing Risks Data

With competing risks data, one often needs to assess the treatment and covariate effects on the cumulative incidence function. Fine and Gray proposed a proportional hazards regression model for the subdistribution of a competing risk with the assumption that the censoring distribution and the covariates are independent. Covariate‐dependent censoring sometimes occurs in medical studies. In this paper, we study the proportional hazards regression model for the subdistribution of a competing risk with proper adjustments for covariate‐dependent censoring. We consider a covariate‐adjusted weight function by fitting the Cox model for the censoring distribution and using the predictive probability for each individual. Our simulation study shows that the covariate‐adjusted weight estimator is basically unbiased when the censoring time depends on the covariates, and the covariate‐adjusted weight approach works well for the variance estimator as well. We illustrate our methods with bone marrow transplant data from the Center for International Blood and Marrow Transplant Research. Here, cancer relapse and death in complete remission are two competing risks.     

特征AHP在高校教师教学质量评定中的应用

本文针对高校教师教学质量的评定提出了一种特征层次分析法。首先通过分析教学质量的影响因素,建立三层层次分析模型。在其基础上引入特征法,选取特征群并确定特征群中个体的权重,利用反算法根据组合权重及方案层权重,求取准则层评定指标权重,避免了不同质指标间对比的不确定性,摒除了专家直接给出评定指标对比矩阵的主观性,减少了对教师评定过程的不一致性和不完备性。     

浅议法律解释中的利益衡量法

文章从法律解释与利益衡量的关系出发,阐明利益衡量在民事审判中是有其存在的必要的。并在此基础上,探讨了法官在进行利益衡量时应使用哪些方法,排除哪些有碍利益衡量的因素,以及进行利益衡量时应考虑的利益原则和所负担的相当注意义务。     

“I am a fat baby,who moved to a fat child,who moved to a fat teenager,who moved to a fat adult”: Women’s reflections of a lifetime of body and weight concern

The present study explored how women aged 50–65 years reflect and make meaning of a lifetime of body and weight struggles. Seven purposefully selected women with longstanding body image challenges participated in interviews and reflected on their perceptions, thoughts, and emotions around their body and weight since childhood. Findings revealed consistent and consuming concerns about the body; prevalent body-related self-conscious emotions; influential social experiences that impact physical self-perceptions; and enduring impacts of weight bias, stigma, and discrimination. Collectively, these findings provide support for the stability of body disturbances and highlight the need to explore the unique body-related narratives of women in midlife.     

基于违约鉴别能力组合赋权的小企业信用评级——基于小型工业企业样本数据的实证分析

信用评级是衡量债务违约的可能性,因此评级体系要有违约风险识别能力,能够将违约客户和非违约客户显著地区分开.通过逼近理想点的思路,构建多目标规划模型求解最优的组合权重,并对中国某区域性商业银行1 814笔小型工业企业贷款进行实证分析.本文的创新与特色一是以非违约企业的数据到正理想点的距离代数和最小为第一个目标函数,以违约企业的数据到负理想点的距离代数和最小为第二个目标函数,构建多目标非线性规划模型进行组合赋权,在满足了“非违约企业的评价得分越高、违约企业的评价得分越低”要求的目标下得到最优的组合赋权的权重系数,使赋权结果保证了评级模型能够将违约企业与非违约企业最大地区分开.改变了现有研究的组合赋权脱离评价目的的弊端,改变了现有研究中违约与非违约企业的评价得分存在大量重叠、对两类企业的区分能力低的弊端.二是通过检验“违约企业的信用得分是否显著小于非违约企业的信用得分”的J-T非参数检验,验证信用评价模型的合理性.改变现有研究忽略对信用评价模型的合理性进行验证的弊端.三是经过实证,发现本研究建立的组合赋权模型的违约鉴别能力(Z=5.546)要高于现有研究的两种常用组合赋权模型、即基于方差最大的组合赋权(Z=4.298)和基于偏差最小的组合赋权(Z=5.182)     

中国省域创新创业环境评价指标体系的构建研究——对全国31个省级单位的测评

围绕创新创业环境的内涵,梳理了影响创新创业环境的六类主要因素,归纳潜在指标;对各潜在指标进行"聚类—因子—权重"综合分析,提炼影响创新创业环境的主要因子,构建出以6个一级指标和20个二级指标为核心的创新创业环境评价指标体系,并建立评价模型。以中国各省为样本,对全国31个省级单位的创新创业环境在2014年的状况进行测评排序。依据各省创新创业环境综合得分情况,得出全国31省2014年创新创业环境的地理空间分布图。分地区评价结果显示,东部地区创新创业环境具有明显优势,中部、东北和西部地区发展空间较大。从准则层指出各个地区优化创新创业环境的着力点。