肿瘤同步放化疗合理应用的思考

同步放化疗的疗效明显优于单一放化疗和序贯放化疗,但毒副作用的叠加效应可引起严重的并发症,甚至造成死亡。本文从同步放化疗的作用机制和临床实践出发,通过对疗效与毒副作用之间的辩证关系进行具体分析,探讨了如何制定合理的肿瘤治疗决策。     

A Monte Carlo method for comparing generalized estimating equations to conventional statistical techniques for discounting data

Discounting is the process by which outcomes lose value. Much of discounting research has focused on differences in the degree of discounting across various groups. This research has relied heavily on conventional null hypothesis significance tests that are familiar to psychologists, such as t‐tests and ANOVAs. As discounting research questions have become more complex by simultaneously focusing on within‐subject and between‐group differences, conventional statistical testing is often not appropriate for the obtained data. Generalized estimating equations (GEE) are one type of mixed‐effects model that are designed to handle autocorrelated data, such as within‐subject repeated‐measures data, and are therefore more appropriate for discounting data. To determine if GEE provides similar results as conventional statistical tests, we compared the techniques across 2,000 simulated data sets. The data sets were created using a Monte Carlo method based on an existing data set. Across the simulated data sets, the GEE and the conventional statistical tests generally provided similar patterns of results. As the GEE and more conventional statistical tests provide the same pattern of result, we suggest researchers use the GEE because it was designed to handle data that has the structure that is typical of discounting data.     

Applying mixed‐effects modeling to single‐subject designs: An introduction

Behavior analysis and statistical inference have shared a conflicted relationship for over fifty years. However, a significant portion of this conflict is directed toward statistical tests (e.g., t‐tests, ANOVA) that aggregate group and/or temporal variability into means and standard deviations and as a result remove much of the data important to behavior analysts. Mixed‐effects modeling, a more recently developed statistical test, addresses many of the limitations of more basic tests by incorporating random effects. Random effects quantify individual subject variability without eliminating it from the model, hence producing a model that can predict both group and individual behavior. We present the results of a generalized linear mixed‐effects model applied to single‐subject data taken from Ackerlund Brandt, Dozier, Juanico, Laudont, & Mick, 2015, in which children chose from one of three reinforcers for completing a task. Results of the mixed‐effects modeling are consistent with visual analyses and importantly provide a statistical framework to predict individual behavior without requiring aggregation. We conclude by discussing the implications of these results and provide recommendations for further integration of mixed‐effects models in the analyses of single‐subject designs.     

Trifactor Models for Multiple-Ratings Data

In this study we extend and assess the trifactor model for multiple-ratings data in which two different raters give independent scores for the same responses (e.g., in the GRE essay or to subset of PISA constructed-responses). The trifactor model was extended to incorporate a cross-classified data structure (e.g., items and raters) instead of a strictly hierarchical structure. we present a set of simulations to reflect the incompleteness and imbalance in real-world assessments. The effects of the rate of missingness in the data and of ignoring differences among raters are investigated using two sets of simulations. The use of the trifactor model is also illustrated with empirical data analysis using a well-known international large-scale assessment.     

What you are confident of determines your choices in context: Confidence in yourself versus in your ability

The notion that consumers' preference is constructed by decision context is well established. Two of such salient manifestations are compromise effect and attraction effect. Although literature has explored the moderators of these effects from the perspective of a decision maker, little is known about whether a significant difference exists between the effects of individual differences as a situational state and as a stable personality. This article approaches this question by examining how specific self‐confidence and general self‐confidence shape consumer's preference for context options. Four studies find that compromise effect is greater for consumer with high specific self‐confidence, whereas attraction effect is greater for consumer with low specific self‐confidence. The two context effects are greater for consumers with low general self‐confidence only in the presence of social influence. In addition, low (vs. high) general self‐confidence strengthens (vs. weakens) the impact of specific self‐confidence on context effects under this condition. This article concludes by discussing the theoretical and practical implications of the findings.     

句子语境中语义联系启动作用的研究

通过对比研究正序和乱序两种句子语境对目标词加工的不同影响,来探讨句子语境中语义联系启动作用及作用点问题。实验一采用词汇命名任务研究发现,句法成分影响命名任务,句法违反对命名任务产生较大的抑制作用。语义违反则对命名任务没有产生显著的抑制作用。实验二利用词汇决定任务发现,词序影响决定任务,乱序对词汇决定产生很大的抑制作用。语义违反对决定任务地产生较大的抑制作用。结果表,中义联系启动是短暂的,它的保持和传递需要句法成分的支持。     

Making a Party Leader Less of a Party Member: The Impact of Ambivalence on Assimilation and Contrast Effects in Political Party Attitudes

The present study tested the degree to which attitudes about a political party would be influenced by the context in which the party leader was rendered cognitively accessible. A sample of British undergraduates evaluated Prime Minister Tony Blair before expressing their opinion about the Labour party. In one condition, the two items were structured such that Blair was expected to be included in participants' representation of the party. In a second condition, the same items were structured such that Blair was expected to be excluded from participants' representation of the party. The results supported the hypothesis that manipulating the context in which Blair was made salient would produce different effects on a subsequent judgment of the Labour party, but only among politically ambivalent respondents.     

Framing the Lewinsky Affair: Third-Person Judgments by Scandal Frame

Recent studies have documented a “third-person effect” whereby people are found to judge others as more influenced than themselves by the mass media. Meanwhile, contemporary research on issue framing has demonstrated the powerful role of mass media in shaping people's political judgments. But are the perceptual judgments that define third-person effects sensitive to how the media frame an issue? Two studies investigated this question in the context of the Lewinsky-Clinton scandal, one in late August 1998 and the other during spring 1999. Several hundred undergraduates in each study were randomly assigned to one of two media frames. In the 1998 study, the political scandal was depicted as a matter of sexual indiscretion by the president or as legal wrongdoing; in the 1999 study, the recently concluded impeachment process was depicted as the consequence of partisanship or of Clinton's actions. The participants’ judgments of media influence on themselves and on the public were then recorded. The results show that third-person effects were sensitive to issue framing, but change occurred primarily in participants’ judgments about their own vulnerability to media influence.     

Methodological Issues in the Assessment of Medication Effects in Children Diagnosed with Attention Deficit Hyperactivity Disorder (ADHD)

Attention deficit hyperactivity disorder (ADHD) is one of the most commonly diagnosed disorders in school-aged children and is usually treated with stimulant medications, including methylphenidate (MPH; Ritalin®, Ritalin-LA®, Concerta®, Metadate®, or Focalin®) and other drug compounds (e.g., Adderall®, Adderall-XR®, or Dexedrine). Assessment of school behavior and performance is a critical component in determining the safety and efficacy of these medications. This paper reviews methodological issues in assessing drug effects in school settings by considering features of the independent variable (the medication), the dependent variables (the endpoints selected for assessment), and the design (the structure of the assessment). In addition, we consider recent conceptual advances in understanding the behavioral mechanisms of action of drugs used to treat ADHD that may influence the structure and interpretation of medication assessments.     

内隐记忆中通道效应的认知与神经机制

通道转换是使内隐和外显记忆任务之间产生功能性分离经常操纵的典型变量之一,被看作是内隐记忆主要依赖刺激知觉住处加工的有利语气。该文回顾了近些年通道效应实验和理论研究的有关文献。对产生通道效应的认知机制和神经解剖基础进行了总结和分析,并提出了有待于进一步验证的问题。