郑之友——癌症患者的福音

癌症，被人们称为“绝症”，是严重危害人类健康的常见病。它不仅危及患者生命，而且给人类社会造成巨大的恐惧。当前防治癌症已成为全世界医学领域的重要研究课题和迫切的任务。多少年来千万医务、科研人员苦苦寻解求索根治癌症的光明途径。目前，广泛施治于患者的医疗手...     

农户绿色蔬菜生产行为影响因素分析——以四川省512户绿色蔬菜生产农户为例

根据计划行为理论,分析影响农户绿色蔬菜生产行为的主要因素,通过实地调研,进行因子分析和多元回归分析,得出以下结论:农户参与绿色蔬菜生产的预期收益、农户合作评价、农户质量控制、农户个人特征与农户绿色蔬菜的生产行为存在正向相关的关系,绿色蔬菜生产成本与农户绿色蔬菜生产行为有负向相关的关系。     

我国统计数据质量与GDDS的差距与对策

统计数据质量是统计的生命。数据质量的好坏,不仅影响到以此为依据的决策的正确性和科学性,还直接关系着国家统计机构的形象和声誉。随着经济全球化进程的加快,社会各界对统计信息的需求越来越广泛,特别是信息网络技术的推广应用,对统计数据质量提出了更高的要求,赋予了更新的内涵。20世纪80年代以前,国际统计界基本上是用数据准确性来评价统计数据质量,而现阶段世界各国大都以适用性、准确性、及时性、可比性、可衔接性、可解释性、客观性、完整性等作为通用的评价准则。     

科技创新人才评价指标体系构建

文章从创新驱动对人才的需求出发,结合教育部、科技部关于规范高等学校SCI论文相关指标使用和树立正确评价导向的要求,运用胜任力冰山模型,构建基于创新驱动视角的科技创新人才评价指标体系,并运用序关系分析法（G1法）确定指标权重,运用模糊数学法进行综合评价。研究结果显示,该指标体系不仅涵盖了对个体的行为特征、个人素质、创新能力的考察和衡量,而且更加注重对标志性成果的质量、贡献和影响以及成果转化情况的考核,增强了学术同行评价的地位和作用,有效避免了SCI论文相关指标的过度使用,可为相关部门引进、培养和考核科技创新人才提供一定的依据。     

《统计与信息论坛》本年度选稿关注方向

<正>欢迎统计学领域及其相关问题研究的创新性研究成果(论文)投稿。本年度我刊选稿重点关注方向包括(但不限于)以下内容:1.统计理论与方法大数据背景下的统计理论与方法研究;国民经济核算;数据质量评价。2.高质量发展经济发展质量评价与监测;创新经济统计;产业升级统计问题研究;农业协同创新、乡村振兴、脱贫成果巩固、人口市民化等统计问题研究;资源环境政策有效性评价。3.风险防范与化解金融风险度量与金融安全识别;金融风险关联性及     

信息披露、产品市场竞争与投资效率的实证分析

文章主要研究非财务信息披露质量与投资效率的相关性,并在此基础上探讨了产品市场竞争变量对投资效率的调节作用.研究结果显示:信息披露质量与投资效率呈正相关关系,产品市场竞争能够影响二者的正向关系,但是这种影响具有层级差异,激烈竞争促进非财务信息披露与投资效率的正向关系,温和竞争阻碍二者的正向关系.     

经营战略、高管薪酬与业绩评价指标的选择

文章运用因子分析法、问卷调查数据实证检验经营战略、高管薪酬与业绩评价指标选择之间的关系.研究发现,高管薪酬与经营战略的实现程度呈正相关,经营战略、高管薪酬与非财务业绩评价指标呈正相关.在高管薪酬的制定时,企业产权性质不同,业绩评价指标选择的偏好也有差异.     

基于BP神经网络的供应商质量评价算法

文章参考相关研究成果,构建了SCM环境下供应商质量评价指标体系,在此基础上,利用BP神经网络对供应商质量空间进行实证研究,评价结果跟实际结论完全相符。     

煤矿工人“统计”的生命价值研究

 目前国内主要使用人力资本理论计算生命价值，反映了其他人事后对死者生命价值的评价。事前预防和控制灾害时，需要考虑死者事前对自己生命价值的评价。本文应用享乐价格理论，根据对四个煤矿调查得到的5875个井下工人样本，从工资决定模型中分解出死亡风险减少与愿意支付工资的定量关系，计算出井下工人事前为了减少一人死亡愿意支付的金额，即“统计”的生命价值。“统计”的生命价值可以作为评价预防和控制灾害技术经济合理性的重要依据。     

大规模定制质量链及其协同分析

文章通过对大规模定制质量链的相关研究,构建了大规模定制质量链结构模型,然后应用定制-DEA模型对大规模定制质量链进行过程协同效度评价与过程协同分析,同时提出过程协同质量改进的方法及其最优改进路径,最后利用算例对其论证。     

生活质量的综合评价：基于数据函数性特征的方法

生活质量的评价与分析是生活质量研究中的核心问题，现有的对生活质量进行综合评价的方法，共同具有的缺憾是方法所处理的数据要么是横截面数据，要么是时间序列数据。然而，实际中可获得的样本资料往往是横截面数据与时间序列数据融合在一起的函数性数据。为弥补现有方法的缺陷，基于数据的函数性特征，引入一种对生活质量进行综合评价和分析的全新方法。从数据信息利用的程度来看，其方法明显优于现有的方法。     

相对经济绩效决定因素的分析——以上海市为例

将人均GDP分解为（劳动）生产率、就业率、就业参与率三个经济变量,并把可持续发展的组成部分经济、环境和社会福利因素作为影响上述三个变量的自变量,构建相应的经济计量模型。基于上海市统计数据的分析表明,就业和科研经费的投入仍旧是经济增长的首要因素,但诸如教育、环境和生活质量等福利因素对经济绩效正起到越来越重要的作用。创新之处在于将经常被忽略的环境和福利因素纳入到经济增长的测量中,这对发达地区或城市实现可持续发展具有重要的理论价值。     

Economic design of quick switching sampling system for assuring Weibull distributed mean life

In this paper, we propose the quick switching sampling system for assuring mean life of a product under time truncated life test where the lifetime of the product follows the Weibull distribution and the mean life is considered as the quality of the product. The optimal parameters of the proposed system are determined using two points on the operating characteristic curve approach for various combinations of consumer's risk and ratio of true mean life time and specified life time. Tables are constructed to determine the optimal parameters for specified acceptable quality level and limiting quality level along with the corresponding probabilities of acceptance. The proposed system is compared with other existing sampling plans under Weibull lifetime model. In addition, an economical design of the proposed system is also discussed.     

Analysis of longitudinal health-related quality of life data with terminal events

Longitudinal health-related quality of life data arise naturally from studies of progressive and neurodegenerative diseases. In such studies, patients’ mental and physical conditions are measured over their follow-up periods and the resulting data are often complicated by subject-specific measurement times and possible terminal events associated with outcome variables. Motivated by the “Predictor’s Cohort” study on patients with advanced Alzheimer disease, we propose in this paper a semiparametric modeling approach to longitudinal health-related quality of life data. It builds upon and extends some recent developments for longitudinal data with irregular observation times. The new approach handles possibly dependent terminal events. It allows one to examine time-dependent covariate effects on the evolution of outcome variable and to assess nonparametrically change of outcome measurement that is due to factors not incorporated in the covariates. The usual large-sample properties for parameter estimation are established. In particular, it is shown that relevant parameter estimators are asymptotically normal and the asymptotic variances can be estimated consistently by the simple plug-in method. A general procedure for testing a specific parametric form in the nonparametric component is also developed. Simulation studies show that the proposed approach performs well for practical settings. The method is applied to the motivating example.     

Simultaneous Modelling of Survival and Longitudinal Data with an Application to Repeated Quality of Life Measures

In biomedical studies, interest often focuses on the relationship between patients characteristics or some risk factors and both quality of life and survival time of subjects under study. In this paper, we propose a simultaneous modelling of both quality of life and survival time using the observed covariates. Moreover, random effects are introduced into the simultaneous models to account for dependence between quality of life and survival time due to unobserved factors. EM algorithms are used to derive the point estimates for the parameters in the proposed model and profile likelihood function is used to estimate their variances. The asymptotic properties are established for our proposed estimators. Finally, simulation studies are conducted to examine the finite-sample properties of the proposed estimators and a liver transplantation data set is analyzed to illustrate our approaches.     

Remembrances of things past: test–retest reliability of retrospective migration histories

Summary Matched retrospective life history data collected from the same individuals in two waves of the Malaysian Family Life Survey provide a unique opportunity to evaluate the quality of long-term recall data in a rapidly changing developing country. Recall quality, measured by consistency of incidence and dating of moves reported 12 years apart, is higher among the better educated. Respondents better remember more salient moves, those linked with other important life events such as marriage, childbirth or a job change and moves that lasted a long time. Migrations that dim in memory as time passes are typically shorter duration or local moves, often made while the respondent was young. The dating of moves is also significantly improved when linked with other salient events. Our findings suggest concrete and practical steps that can be followed to improve the quality of retrospective life-histories collected in field surveys.     

关于生活质量评价的若干问题

生活质量可以从多维度、多视角、多层面进行测度与评价。经济学理论、社会学理论指导人们全面地审视人的生活质量的现状与提高。科学技术的发展进步与人的生活质量的提高密切相关。测度与评价生活质量应用多种统计方法与评价结论相互印证和补充，以免因评价者的主观认识失误和使用方法的缺陷造成对社会和政府的误导。     

CAUSAL EFFECTS OF TREATMENTS FOR INFORMATIVE MISSING DATA DUE TO PROGRESSION/DEATH

In longitudinal clinical trials, when outcome variables at later time points are only defined for patients who survive to those times, the evaluation of the causal effect of treatment is complicated. In this paper, we describe an approach that can be used to obtain the causal effect of three treatment arms with ordinal outcomes in the presence of death using a principal stratification approach. We introduce a set of flexible assumptions to identify the causal effect and implement a sensitivity analysis for non-identifiable assumptions which we parameterize parsimoniously. Methods are illustrated on quality of life data from a recent colorectal cancer clinical trial.     

Longitudinal data: different approaches in the context of item-response theory models

In this paper, some extended Rasch models are analyzed in the presence of longitudinal measurements of a latent variable. Two main approaches, multidimensional and multilevel, are compared: we investigate the different information that can be obtained from the latent variable, and we give advice on the use of the different kinds of models. The multidimensional and multilevel approaches are illustrated with a simulation study and with a longitudinal study on the health-related quality of life in terminal cancer patients.     

Reliability Studies of the Log-Exponential Inverse Gaussian Distribution

In this article, we investigate the monotonicity of the density, failure rate, and mean residual life functions of the log-exponential inverse Gaussian distribution. It turns out that, in this case, the monotonicity of the density, failure rate, and mean residual life functions take different forms depending on the range of the parameters. Maximum likelihood estimators of the critical points of the density, failure rate, and mean residual life functions of the model are evaluated using Monte Carlo simulations. An example of a published data set is used to illustrate the estimation of the critical points.