关于报告基于回归的规范和开发免费访问工具的建议,以便在实践中实施这些规范
Rok Blagus1,2, Bojan Leskošek3, Francisco B Ortega4,5
1Institute for Biostatistics and Medical Informatics, University of Ljubljana, Ljubljana, Slovenia.
PloS one
|June 23, 2025
概括
本研究介绍了一种基于回归的标准的出版方法,该方法可以对任何预测因素组合进行精确的得分评估,同时保护参与者数据. 一个开源的R包为研究人员提供了可访问性和实际应用.
科学领域:
- 心理测量 心理测量 心理测量
- 统计建模 统计建模
背景情况:
- 规范参考测试将个人与参考人口进行比较,规范通常基于年龄和性别等特征.
- 基于回归的规范允许对任何预测因素组合进行精确的得分评估,但当前的方法往往缺乏详细的模型参数,阻碍了准确的评估.
- 由于个人数据的隐私问题,共享配套模型受到限制,这限制了基于回归的规范的实际应用.
研究的目的:
- 为发布基于回归的规范提供建议,允许对任何规范预测器组合进行精确的得分评估.
- 确保保护参与者的隐私,同时促进共享和利用基于回归的规范.
- 开发和提供工具,使作者和用户能够实施并从这些增强的规范方法中受益.
主要方法:
- 建议准确地呈现底层的拟合回归模型,包括所有参数估计,以进行精确的评估.
- 倡导计算机共享模型适合排除敏感信息,可由具有编程技能的个人使用.
- 建议开发基于Web的应用程序,以便用户在没有编程专业知识的情况下进行评分评估.
- 引入一个开源的R包,旨在促进基于回归的规范的发布和使用.
主要成果:
- 拟议的出版要求允许对任何规范预测器组合进行精确的评分评估.
- 参与者的隐私是通过共享非识别模型和可访问应用程序来维护的.
- 开源的R包为作者和用户提供了一个实用的解决方案,可以实现并访问基于回归的规范.
- 研究人员现在可以准确地解释个人数据与广泛可访问和实际应用的规范相比.
结论:
- 开发的建议和工具提高了基于回归的规范的可访问性和实际应用.
- 精确的得分评估是可以实现的,同时保持严格的数据隐私标准.
- 这种方法使研究人员能够通过提供透明和可用的规范模型,准确地解释测试成绩.
相关概念视频
01:52Regression Toward the Mean
6.5K
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...
6.5K
01:19Testing a Claim about Standard Deviation
2.5K
A complete procedure to test a claim about population standard deviation or population variance is explained here.
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
2.5K
01:24Data Reporting and Recording
4.9K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
4.9K
01:13Range Rule of Thumb to Interpret Standard Deviation
9.3K
The range rule of thumb in statistics helps us calculate a dataset's minimum and maximum values with known standard deviation. This rule is based on the concept that 95% of all values in a dataset lie within two standard deviations from the mean.
For instance, the range rule of thumb can be used to find the tallest and the shortest student in a class, given the mean student height and standard deviation. If the mean student height is 1.6 m and the standard deviation, s is 0.05 m, the height...
For instance, the range rule of thumb can be used to find the tallest and the shortest student in a class, given the mean student height and standard deviation. If the mean student height is 1.6 m and the standard deviation, s is 0.05 m, the height...
9.3K