Prediction model-based kernel density estimation when group membership is subject to missing

AStA Advances in Statistical Analysis - The density function is a fundamental concept in data analysis. When a population consists of heterogeneous subjects, it is often of great interest to...     

Bayesian multiple change-point estimation for exponential distribution with truncated and censored data

This paper considers the multiple change-point estimation for exponential distribution with truncated and censored data by Gibbs sampling. After all the missing data of interest is filled in by some sampling methods such as rejection sampling method, the complete-data likelihood function is obtained. The full conditional distributions of all parameters are discussed. The means of Gibbs samples are taken as Bayesian estimations of the parameters. The implementation steps of Gibbs sampling are introduced in detail. Finally random simulation test is developed, and the results show that Bayesian estimations are fairly accurate.     

中缅跨境德昂族的历史记忆与国家认同

跨中缅两国国境线而居的德昂族在传统社会框架下为了本民族生存和发展建构了早期共同历史记忆.近代以来,中缅德昂族早期共同历史记忆出现了差异,究其原因,主要与现代国家确认、现代国际社会框架和自我建构相关.因此,早期历史记忆研究应该关注传统社会框架和自我建构的互动;历史记忆的当代重构应该关注现代国家、现代国际社会框架和自我建构三者的关系.国家认同差异并不妨碍中缅德昂族民心相通,德昂族将对"一带一路"发挥积极作用.     

The effect of urbanization gradients and forest types on microclimatic regulation by trees,in association with climate,tree sizes and species compositions in Harbin city,northeastern China

Urban Ecosystems - Rapid urbanization and climate change require stronger microclimatic regulation by urban trees, and maximizing their cooling, humidifying, and shading functions requires an exact...     

资本主义:从社会契约论到社会资本论--论社会资本概念在政治领域拓展的意义及其局限

社会资本概念的流行是与其在政治领域的拓展分不开的,这一拓展既反映了它在理论上与社会契约论的内在逻辑关系,也反映了资本主义在实践中的自我调整过程。社会资本概念本身的矛盾性质,深刻地反映了资本主义发展的内在困境;这一概念在应用于第三世界国家时存在着文化决定论的倾向。     

凉山彝族婚嫁“高额彩礼”问题研究

改革开放以来,凉山彝族婚嫁彩礼持续走高,特别近10年来,婚嫁彩礼已经变异为“高额彩礼”。课题组自2018年至2022年,以凉山彝族“高额彩礼”为研究对象,探究“高额彩礼”的性质、形成的原因和带来的社会问题;我们认为 “高额彩礼”阻碍凉山社会经济与精神文明的发展,不利于社会和谐稳定,凉山急需进行一场彻底的移风易俗洗礼,使彩礼不再“高额”,让彝族青年走出“婚嫁漩涡”,形成崇尚文明新风、抵制陈规陋习的社会风气,助力脱贫致富奔小康。     

Variable selection for high-dimensional generalized linear model with block-missing data

In modern scientific research, multiblock missing data emerges with synthesizing information across multiple studies. However, existing imputation methods for handling block-wise missing data either focus on the single-block missing pattern or heavily rely on the model structure. In this study, we propose a single regression-based imputation algorithm for multiblock missing data. First, we conduct a sparse precision matrix estimation based on the structure of block-wise missing data. Second, we impute the missing blocks with their means conditional on the observed blocks. Theoretical results about variable selection and estimation consistency are established in the context of a generalized linear model. Moreover, simulation studies show that compared with existing methods, the proposed imputation procedure is robust to various missing mechanisms because of the good properties of regression imputation. An application to Alzheimer's Disease Neuroimaging Initiative data also confirms the superiority of our proposed method.     

Statistical methods for handling missing data to align with treatment policy strategy

The International Council for Harmonization (ICH) E9(R1) addendum recommends choosing an appropriate estimand based on the study objectives in advance of trial design. One defining attribute of an estimand is the intercurrent event, specifically what is considered an intercurrent event and how it should be handled. The primary objective of a clinical study is usually to assess a product's effectiveness and safety based on the planned treatment regimen instead of the actual treatment received. The estimand using the treatment policy strategy, which collects and analyzes data regardless of the occurrence of intercurrent events, is usually utilized. In this article, we explain how missing data can be handled using the treatment policy strategy from the authors' viewpoint in connection with antihyperglycemic product development programs. The article discusses five statistical methods to impute missing data occurring after intercurrent events. All five methods are applied within the framework of the treatment policy strategy. The article compares the five methods via Markov Chain Monte Carlo simulations and showcases how three of these five methods have been applied to estimate the treatment effects published in the labels for three antihyperglycemic agents currently on the market.     

父母教养方式对儿童参与的影响

儿童参与既是儿童的一项权利,也是儿童感知生活、磨练技能、锻炼意志的有效途径.受学业压力的影响,城市儿童参与社会生活的空间和时间被缩小挤占,此时家庭教育中父母起着重要的作用.研究发现父母教养方式中情感理解维度可以正向预测儿童参与行为和权利意识;儿童参与的权利意识在父母教养方式和儿童参与行为间起中介作用,而教养方式中情感理...