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相关概念视频

Reliability and Validity01:29

Reliability and Validity

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Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
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Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
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The confidence coefficient is also known as the confidence level or degree of confidence. It is the percent expression for the probability, 1-α, that the confidence interval contains the true population parameter assuming that the confidence interval is obtained after sufficient unbiased sampling; for example, if the CL = 90%, then in 90 out of 100 samples the interval estimate will enclose the true population parameter. Here α is the area under the curve, distributed equally under...
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Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
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Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
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The z score is one of the three measures of relative standing. It describes the location of a value in a dataset relative to the mean. z scores are obtained after the standardization of the values in a dataset. The z score for the mean is 0.
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相关实验视频

Updated: Jul 19, 2025

Using Practice Testing, Public Speaking, and Source Monitoring to Examine the Influences of Learning Strategies and Stress on Episodic Memory
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对REMEMBER分数的外部验证

Armin Darius Peivandi1, Henryk Welp1, Sebastian Kintrup2

  • 1Department of Cardiothoracic Surgery, University Hospital Muenster, Muenster, Germany.

Frontiers in cardiovascular medicine
|August 14, 2023
PubMed
概括

旨在预测冠状动脉绕道移植 (CABG) 后死亡率的REMEMBER评分与静脉外体膜氧化 (VA-ECMO) 显示在外部验证中表现不佳. 这一分数不适用于预测该患者群体的住院死亡率.

关键词:
心脏衰竭是因为心脏衰竭.冠状动脉绕道移植冠状动脉绕道移植身体外生命支持风险评分风险评分是什么意思评分系统 评分系统

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科学领域:

  • 心脏病学 心脏病学
  • 心血管外科心血管外科
  • 关键护理医学 关键护理医学

背景情况:

  • 在冠状动脉旁路移植 (CABG) 后使用静脉外体膜氧化 (VA-ECMO) 与高住院死亡率有关.
  • REMEMBER评分是为了预测需要VA-ECMO的CABG患者的住院死亡率而开发的.

研究的目的:

  • 在接受VA-ECMO的CABG患者的一个不同的队列中,对REMEMBER得分的预测性能的外部验证.
  • 评估REMEMBER得分在预测住院死亡率方面的准确性.

主要方法:

  • 在2012年至2021年期间接受VA-ECMO的107名CABG患者的回顾性分析.
  • 使用一致性统计和ROC曲线分析评估REMEMBER分数的区分能力.
  • 使用大尺度校准和校准斜率对校准的评估.

主要成果:

  • 该研究包括107名患者,住院死亡率为45.8%.
  • 在REMEMBER分数中,分辨能力低 (AUC:0.623) 和校准不佳 (截面p=0.0195,斜率p=0.0303).
  • 通过REMEMBER得分预测的死亡率中位数为52%,与观察到的死亡率不同.

结论:

  • 发现REMEMBER得分不准确,不适用于预测VA-ECMO治疗的CABG患者的住院死亡率.
  • 建议进行进一步的外部验证研究,最好是在多中心环境中进行,以证实这些发现.