创业板公司风险投资对财务治理效率影响研究

风险投资在投资目的、方式、收回等方面与传统投资有很大区别,研究此投资框架下各项财务治理行为对企业财务治理效率的影响,能够有针对性地指导企业完善治理措施,提高治理效率。创业板是我国风险投资参与面最广的上市公司板块,以创业板2009—2013年期间IPO上市公司为研究对象,采用实证研究方法,分析风险投资对上市公司财务治理效率的作用及其形式。结果显示,风投方持股比例越高,参与时间越长,在董事会、监事会高管中拥有席位越多,财务治理效率就越高,但创业板中的联合投资存在“搭便车”现象。上市公司应努力完善并调整企业相关制度和治理结构,风险投资机构加强合作,以最终实现高效的财务治理。     

A win ratio approach to comparing continuous non‐normal outcomes in clinical trials

Clinical trials are often designed to compare continuous non‐normal outcomes. The conventional statistical method for such a comparison is a non‐parametric Mann–Whitney test, which provides a P‐value for testing the hypothesis that the distributions of both treatment groups are identical, but does not provide a simple and straightforward estimate of treatment effect. For that, Hodges and Lehmann proposed estimating the shift parameter between two populations and its confidence interval (CI). However, such a shift parameter does not have a straightforward interpretation, and its CI contains zero in some cases when Mann–Whitney test produces a significant result. To overcome the aforementioned problems, we introduce the use of the win ratio for analysing such data. Patients in the new and control treatment are formed into all possible pairs. For each pair, the new treatment patient is labelled a ‘winner’ or a ‘loser’ if it is known who had the more favourable outcome. The win ratio is the total number of winners divided by the total numbers of losers. A 95% CI for the win ratio can be obtained using the bootstrap method. Statistical properties of the win ratio statistic are investigated using two real trial data sets and six simulation studies. Results show that the win ratio method has about the same power as the Mann–Whitney method. We recommend the use of the win ratio method for estimating the treatment effect (and CI) and the Mann–Whitney method for calculating the P‐value for comparing continuous non‐Normal outcomes when the amount of tied pairs is small. Copyright © 2016 John Wiley & Sons, Ltd.     

A visualization method measuring the performance of biomarkers for guiding treatment decisions

Biomarkers that predict efficacy and safety for a given drug therapy become increasingly important for treatment strategy and drug evaluation in personalized medicine. Methodology for appropriately identifying and validating such biomarkers is critically needed, although it is very challenging to develop, especially in trials of terminal diseases with survival endpoints. The marker‐by‐treatment predictiveness curve serves this need by visualizing the treatment effect on survival as a function of biomarker for each treatment. In this article, we propose the weighted predictiveness curve (WPC). Based on the nature of the data, it generates predictiveness curves by utilizing either parametric or nonparametric approaches. Especially for nonparametric predictiveness curves, by incorporating local assessment techniques, it requires minimum model assumptions and provides great flexibility to visualize the marker‐by‐treatment relationship. WPC can be used to compare biomarkers and identify the one with the highest potential impact. Equally important, by simultaneously viewing several treatment‐specific predictiveness curves across the biomarker range, WPC can also guide the biomarker‐based treatment regimens. Simulations representing various scenarios are employed to evaluate the performance of WPC. Application on a well‐known liver cirrhosis trial sheds new light on the data and leads to discovery of novel patterns of treatment biomarker interactions. Copyright © 2015 John Wiley & Sons, Ltd.     

Group sequential monitoring based on the weighted log‐rank test statistic with the Fleming–Harrington class of weights in cancer vaccine studies

In recent years, immunological science has evolved, and cancer vaccines are now approved and available for treating existing cancers. Because cancer vaccines require time to elicit an immune response, a delayed treatment effect is expected and is actually observed in drug approval studies. Accordingly, we propose the evaluation of survival endpoints by weighted log‐rank tests with the Fleming–Harrington class of weights. We consider group sequential monitoring, which allows early efficacy stopping, and determine a semiparametric information fraction for the Fleming–Harrington family of weights, which is necessary for the error spending function. Moreover, we give a flexible survival model in cancer vaccine studies that considers not only the delayed treatment effect but also the long‐term survivors. In a Monte Carlo simulation study, we illustrate that when the primary analysis is a weighted log‐rank test emphasizing the late differences, the proposed information fraction can be a useful alternative to the surrogate information fraction, which is proportional to the number of events. Copyright © 2016 John Wiley & Sons, Ltd.     

公立高校教师心理契约违背的影响因素分析

基于心理契约理论,对高校教师心理契约形成过程、心理契约违背发生、发生心理契约违背对高校教师行为的具体影响等方面进行了深入分析。先后选取了东中西部十余所公立高校的230名高校教师进行调查,结果发现：影响公立高校教师心理契约违背的重要因素主要包括稳定的工作保障、良好的行政服务和高效完成工作任务等九项重要指标。     

大型音乐舞蹈史诗《中国革命之歌》的艺术处理

大型音乐舞蹈史诗《中国革命之歌》在进行创作时既要确保艺术创作真实反映历史事实,又要防止与《东方红》重复,需要创作人员精心设计框架,选择材料进行加工改编,具有一定的难度。创作者和表演者通过艺术框架的搭建、艺术素材的加工、艺术演出的处理,使大型音乐舞蹈史诗《中国革命之歌》既具有政治内容又具有极高的艺术美。     

国外重大突发公共卫生事件心理危机干预措施及启示

2020年初,新型冠状病毒肺炎疫情给患者、医护工作者乃至普通民众带来了严重的心理危机。我国逐渐成熟的心理危机干预系统在疫情期间取得成效,但同时也反映出心理危机干预系统建设存在欠缺。文章介绍了美国、以色列等发达国家处置突发公共卫生事件心理危机的机构设置、管理系统、治疗手段、信息沟通系统等干预措施,为加强我国突发公共卫生事件心理危机干预体系建设提供了科学依据和建议。     

大学生就业价值取向的问题与对策分析

论述了当代大学生就业价值取向存在的主要问题;当代大学生就业价值取向偏差的负面影响;引导大学生就业价值取向的主要措施。并指出高校应加强对大学生的择业指导,引导其价值取向,帮助大学生正确制定职业规划,实现顺利就业。     

WTO争端解决机制中对发展中国家的特殊和差别待遇探析

在WTO争端解决机制中有一些针对发展中国家的特殊与差别待遇条款,但这些条款有其局限性,发展中国家很少利用,发展中国家应当努力促进特殊和差别待遇条款的完善,同时充分利用好现存的特殊和差别待遇.     

晚清的内忧外患与日本近代化

晚清遭受西方殖民主义的屡次侵略而渐次沉沦,内部又爆发大规模的农民起义,可谓内忧外患。这向尚处锁国状态的近邻日本频频发出强烈警报,使其获得改弦更张、积极面对列强来袭的启示,并断然走上开国、倒幕、维新的近代化之路。