A variable-selection heuristic for K-means clustering

One of the most vexing problems in cluster analysis is the selection and/or weighting of variables in order to include those that truly define cluster structure, while eliminating those that might mask such structure. This paper presents a variable-selection heuristic for nonhierarchical (K-means) cluster analysis based on the adjusted Rand index for measuring cluster recovery. The heuristic was subjected to Monte Carlo testing across more than 2200 datasets with known cluster structure. The results indicate the heuristic is extremely effective at eliminating masking variables. A cluster analysis of real-world financial services data revealed that using the variable-selection heuristic prior to the K-means algorithm resulted in greater cluster stability.     

新时代农村公共卫生政策的量化分析研究

基于“供给−需求−环境”分析模型,对中国2013年～2022年出台的242份农村公共卫生政策文件进行量化分析后发现,地区差异明显,东部、中部地区较东北部、西部地区的相关政策更多;从模型看制定供给端政策最多,需求端次之,环境端最少。从公共伦理学视角进行原因分析,提出农村公共卫生政策的公平正义有待提高、农村居民的公共利益应得到更充分维护、政策制定要符合中国式现代化可持续发展要求等政策建议,以不断完善我国农村公共卫生政策、推进农村公共卫生事业发展。

     

我国公立医疗机构转型政策量化分析

分析我国城市一二级公立医院转型为康复医院、老年护理院等接续性医疗机构政策的内外部特征,为后续政策的制定与完善提供参考。通过构建政策工具、政策利益相关者、政策力度三维政策分析框架,对相关政策进行多维分类分析。得出相关政策发文量呈波动增长趋势;环境型政策工具使用过溢,供给型政策工具内部结构配置失衡,需求型政策工具应用匮乏;对不同政策利益相关方的关注度存在差异;政策顶层设计欠缺,整体政策效力不高。建议优化政策工具使用,平衡各利益相关方需求,完善政策体系内容。

     

医患会话不同研究方法进展

医患会话研究是研究医患矛盾和医患关系的关键,从社会学和语言学的视角,对国内外的医患会话研究进行了梳理。社会学和语言学视角对会话的分析有很大的差异。社会学家是研究如何进行会话,认为会话能透视社会生活,而语言学家则研究语言如何建构以产生会话,认为作为社会生活资源的会话可以帮助发现语言的本质。医患会话研究还应该拓展到认知神经科学、心理学和医学领域。只有更好地开展医患会话的研究才能指导医生的会话策略,提高医患沟通能力,改善医患关系。     

基于叙事医学“细读”方法探讨中医医案叙事分析方法

医案作为叙事文本,可进行故事分析与叙事分析。叙事分析结果能够完善故事分析结果。叙事医学提出的细读方法是医学叙事分析方法的集大成者。为增加医案研读结果的完整度,借鉴叙事医学的细读方法,提出了分析医案“框架”、“形式”、“时间”、“情节”、“意愿”的方法,介绍了时间性、独特性、因果关系/偶然性、伦理性、主体间性特征等叙事医学概念对医案分析需求的启发。为了便于记录与规范医案叙事分析的过程,设计了医案叙事分析表。本研究丰富了医案研究方法,扩大了叙事医学细读方法的运用范围。     

医院和医疗保险的经济学分析

随着医疗卫生体制改革的深入,应对老龄化危机,降低不断提高的医疗服务费用,提高医疗服务质量,提高医疗服务可及性和公平性,是我们面对的切实问题。医院是提供医疗卫生服务的场所,也是提供医疗卫生服务的主体单位,了解医院的经济学特性和组织特点,有利于我们对市场经济环境下的医院行为有所了解,为卫生体制改革和医疗保险改革提供理论依据。     

抗抑郁药应用选择的思考

目前市场上可供选择的抗抑郁药越来越多.从系统方法论、医学模式转变和矛盾重点论的角度来阐述临床上应该如何选择用药,才能使治疗效果和医疗费用更符合个体的情况,达到比较和谐的状态.     

Effect size,statistical power,and sample size for assessing interactions between categorical and continuous variables

The reporting and interpretation of effect size estimates are widely advocated in many academic journals of psychology and related disciplines. However, such concern has not been adequately addressed for analyses involving interactions between categorical and continuous variables. For the purpose of improving current practice, this article presents fundamental features and theoretical developments for the variance of standardized slopes as a desirable standardized effect size measure for the degree of disparity between several slope coefficients. To estimate the effect size, a consistent and nearly unbiased estimator is described and a simple refinement is emphasized for extreme situations whenever appropriate. The essential problems of power and sample size calculations for testing the equality of slope coefficients are also considered. According to the analytic justification and empirical assessment, the exact approach has a clear advantage over the approximate methods. Both SAS and R computer codes are provided to facilitate practical accessibility of the proposed techniques in interaction studies.