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相关概念视频

Longitudinal Research02:20

Longitudinal Research

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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
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Surveys02:16

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Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
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Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
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,我们错过了一个地方:比较数据替换方法非随机丢失的调查数据在纵向研究中的数据替换方法.

Theodore C K Cheung1, Katherine T Cost2, Kayla Esser3

  • 1Department of Psychiatry, The Hospital for Sick Children, Toronto, Ontario, Canada; SickKids Research Institute, The Hospital for Sick Children, Toronto, Ontario, Canada.

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概括

当先进的缺失数据方法失败时,最后的观察进行 (LOCF) 证明比平均替换或回归归算更准确,用于估计儿童焦虑水平. 这种比较有助于研究人员在数据处理决策.

关键词:
青少年 青少年 青少年孩子 孩子 孩子 孩子数据替换数据的替换传递的最后一个观察.缺少的数据数据.

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科学领域:

  • 心理学 心理学 心理学
  • 统计 统计 统计 统计
  • 数据科学数据科学数据科学

背景情况:

  • 在纵向研究中,缺失数据归算至关重要.
  • 当数据完全缺失时,标准归算方法可能不适用.
  • 评估替代替代方法对于可靠的数据分析是必要的.

研究的目的:

  • 为了比较三种缺失数据归算方法的准确性:平均值替换,最后进行观察 (LOCF) 和回归预测值.
  • 确定在纵向研究中估计失踪儿童焦虑数据的最可靠方法.
  • 为面对缺失数据挑战的研究人员提供指导.

主要方法:

  • 利用了来自安大略省COVID-19和儿童心理健康研究的数据,涉及384名报告儿童焦虑的家长.
  • 应用了平均值替换,LOCF和回归归算法来估计缺失的调查项目在基线后的1个月和4个月.
  • 在受试者内部进行ANOVA和后期分析,将归算方法与实际数据进行比较.

主要成果:

  • 平均替代值与实际数据有显著差异.
  • 与实际值相比,回归预测值高估了中位数.
  • LOCF产生了与实际数据相比较的平均值和相同的中位数,表明更高的准确性和可靠性.

结论:

  • 当高级方法不可行时,LOCF是一种比平均值替换或回归预测值更准确和可靠的归算方法.
  • 系统地比较替代归算方法对于做出明智的数据处理决策至关重要.
  • 研究结果支持使用LOCF来估计在类似研究环境中缺少的儿童焦虑数据.