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相关概念视频

Unusual Results01:16

Unusual Results

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Unusual results are those that have a very low chance of occurring. Unusual results can be identified using probabilities and the range rule of thumb. In problems involving probability, unusual results can be observed in 2 instances – an unusually high number of successes or an unusually low number of successes.
According to the range rule of thumb, any value above or below two standard deviations, 2σ  from the mean, μ  is considered unusual.
Maximum unusual value =...
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Case Studies01:22

Case Studies

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There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.
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Hindsight Biases01:12

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Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now? 
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Cognitive Learning01:21

Cognitive Learning

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Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
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Regression Toward the Mean01:52

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Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
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Outliers and Influential Points01:08

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An outlier is an observation of data that does not fit the rest of the data. It is sometimes called an extreme value. When you graph an outlier, it will appear not to fit the pattern of the graph. Some outliers are due to mistakes (for example, writing down 50 instead of 500), while others may indicate that something unusual is happening. Outliers are present far from the least squares line in the vertical direction. They have large "errors," where the "error" or residual is the...
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从不同寻常的案例中吸取教训

Tai Kobayashi1, Felix Mahfoud2

  • 1Division of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.

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概括
此摘要是机器生成的。

脏皮化为治疗高血压提供了一种新的程序方法. 成功治疗患者需要在干预前和干预期间仔细考虑各种程序和非程序复杂性.

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科学领域:

  • 干预性心脏病学和病学.
  • 高血压管理. 高血压管理.
  • 最少侵入性手术. 最少侵入性手术.

背景情况:

  • 高血压仍然是一个重大的全球健康挑战.
  • 目前的药物治疗方法并不总是有效的.
  • 脏缩成为一种新的治疗策略.

研究的目的:

  • 引入脏剥皮作为高血压的程序性治疗方法.
  • 突出成功患者管理的关键因素.
  • 概述与脏皮化手术相关的复杂性.

主要方法:

  • 对脏皮化过程中的手术技术的审查.
  • 对影响结果的患者特异性因素的分析.
  • 确定临床应用中的潜在挑战.

主要成果:

  • 脏缺血是选择高血压患者的一种可行的治疗选择.
  • 程序的成功取决于细致的规划和执行.
  • 非程序性因素显著影响整体治疗疗效.

结论:

  • 脏缩代表了高血压治疗的一个有前途的进步.
  • 综合性患者评估和程序专业知识至关重要.
  • 解决复杂性是优化脏缩结果的关键.