个体化医疗和大数据时代的机遇和挑战

随着分子生物学的发展,高通量测序技术的引入和“大数据”处理能力的提高,现代医学正在经历巨大的变革,由传统的标准化医疗模式向个体化医疗模式转变。随着人类基因组计划和DNA元素百科全书计划的完成及人类和肿瘤基因图谱的绘制,我们正逐步解开人类基因组的奥秘。这极大地推进了人们对疾病,尤其是对肿瘤的认识。作为疾病诊断的“金标准”,病理学也在经历着深刻的变革,逐渐向个体化病理学发展。个体化医疗时代的到来,使医学各领域和社会多方面都面临新的机遇和挑战。     

An Extension of Multiple Correspondence Analysis for Identifying Heterogeneous Subgroups of Respondents

An extension of multiple correspondence analysis is proposed that takes into account cluster-level heterogeneity in respondents’ preferences/choices. The method involves combining multiple correspondence analysis and k-means in a unified framework. The former is used for uncovering a low-dimensional space of multivariate categorical variables while the latter is used for identifying relatively homogeneous clusters of respondents. The proposed method offers an integrated graphical display that provides information on cluster-based structures inherent in multivariate categorical data as well as the interdependencies among the data. An empirical application is presented which demonstrates the usefulness of the proposed method and how it compares to several extant approaches. The work reported in this paper was supported by Grant 290439 and Grant A6394 from the Natural Sciences and Engineering Research Council of Canada to the first and third authors, respectively. We wish to thank Ulf B?ckenholt, Paul Green, and Marc Tomiuk for their insightful comments on an earlier version of this paper. We also wish to thank Byunghwa Yang for generously providing us with his data.     

The Role of Independence and Stationarity in Probabilistic Models of Binary Choice

After more then 50 years of probabilistic choice modeling in economics, marketing, political science, psychology, and related disciplines, theoretical and computational advances give scholars access to a sophisticated array of modeling and inference resources. We review some important, but perhaps often overlooked, properties of major classes of probabilistic choice models. For within‐respondent applications, we discuss which models require repeated choices by an individual to be independent and response probabilities to be stationary. We show how some model classes, but not others, are invariant over variable preferences, variable utilities, or variable choice probabilities. These models, but not others, accommodate pooling of responses or averaging of choice proportions within participant when underlying parameters vary across observations. These, but not others, permit pooling/averaging across respondents in the presence of individual differences. We also review the role of independence and stationarity in statistical inference, including for probabilistic choice models that, themselves, do not require those properties. Copyright © 2017 John Wiley & Sons, Ltd.     

高自尊的异质性研究述评

自尊不只有高低之分,很多研究者分别从实证研究的结果矛盾性、对自尊的概念及其测量方法的理论思考等方面论述了高自尊异质性存在的可能性,并分别从不同角度提出了高自尊的不同类型及其测量方法,如,不稳定的高自尊与稳定的高自尊、防御的高自尊与真诚的高自尊、相倚的高自尊与真正的高自尊、高外显低内隐自尊与高外显高内隐自尊、脆弱的高自尊与安全的高自尊等,其测量方法也因不同类型而不同。这些研究均说明高自尊存在异质性,需在未来的自尊研究中加以注意     

群组发展模型——干预研究的新方法

群组发展模型(group-based trajectory model,GBTM)是一种用于研究群体异质性的新方法,旨在识别群体内遵循不同发展轨迹的亚组,并描绘亚组成员特征。这一模型为干预研究提供了新的研究视角,群组发展模型不仅可以探讨干预是否引起分组比例变化,也关注干预对个体的发展轨迹的影响,并评估干预对不同轨迹组的效果差异。     

对精准医学批评的辨析

首先澄清我国网站上发表的两篇有关精准医学博文中事实上的错误和概念上的混淆。接着讨论了对精准医学提出的批评及对这些批评的分析。指出精准医学术语本身容易引起误解和引起人们过高的期望;对精准医学的论述和实施中存在基因决定论倾向, 即过分夸大基因在健康和疾病中的作用, 而忽视环境、生活方式、社会因素的作用, 这在政策上就会导致在发展高端医学与发展大众医学上不能保持平衡的问题;将巨大的资源投入精准医学研究未进行认真的成本-效果分析, 也未考虑到精准医学研究成果的公平可及, 以避免加深社会不公正问题;最后, 在吸引商家参与精准医学研究计划时未考虑如何力求避免可能引起的利益冲突问题。     

自尊水平与评价性信息的选择性记忆

245名被试完成外显Rosenberg量表、内隐IAT测验和记忆测验。实验结果发现,1）外显自尊有效地预测消极信息的回忆量,低外显自尊个体对消极信息的回忆量显著高于高外显自尊个体,而两类被试对积极信息的回忆量上差异不显著,实验结果证实了相关模型的假设。2）无论是积极信息的回忆率还是消极信息的回忆率,不同内隐自尊水平的个体的回忆量差异不显著,外显自尊与内隐自尊的交互作用与其关系也不紧密,试图通过外显手段区分内隐层面上有差异的两类个体,似乎是行不通的。     

Jung's views on causes and treatments of schizophrenia in light of current trends in cognitive neuroscience and psychotherapy research II: Psychological research and treatment

Jung was the first to emphasize the importance of psychological factors in the aetiology and treatment of schizophrenia. Despite this, and other seminal contributions, his work on schizophrenia is almost completely ignored or forgotten today. This paper, a follow‐up to one on Jung's theories of aetiology and symptom formation in schizophrenia (Journal of Analytical Psychology, 59, 1) reviews Jung's views on psychological approaches to research on, and treatment of, the disorder. Five themes are covered: 1) experimental psychopathology; 2) attentional disturbance; 3) psychological treatment; 4) the relationship between the environment (including the psychiatric hospital) and symptom expression; and 5) heterogeneity and the schizophrenia spectrum. Review of these areas reveal that Jung's ideas about the kind of research that can elucidate psychological mechanisms in schizophrenia, and the importance of psychotherapy for people with this condition, are very much in line with contemporary paradigms. Moreover, further exploration of several points of convergence could lead to advances in both of these fields, as well as within analytical psychology.     

Word‐of‐mouth and the forecasting of consumption enjoyment

The digital era has permitted rapid transfer of peer knowledge regarding products and services. In the present research, we explore the value of specific types of word-of-mouth information (numeric ratings and text commentary) for improving forecasts of consumption enjoyment. We present an anchoring-and-adjustment model in which the relative forecasting error associated with ratings and commentary depends on the extent to which consumer and reviewer have similar product-level preferences. To test our model, we present four experiments using a range of hedonic stimuli. Implications for the provision of consumer WOM are discussed.