相关实验视频

Updated: Apr 12, 2026

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Published on: May 10, 2019

对R²在风险均等化研究中的使用进行批判性审查

Wynand P M M van de Ven¹, Richard C van Kleef²

¹Erasmus University Rotterdam / Erasmus Centre for Health Economics Rotterdam (EsCHER), Rotterdam, The Netherlands. vandeven@eshpm.eur.nl.

The European journal of health economics : HEPAC : health economics in prevention and care

|August 9, 2024

概括

在风险均等化中常用的R平方 (R2) 值经常被误解. 这项研究认为,R2和类似措施对于评估保险中的选择激励措施是没有用处的,可能会导致错误的结论.

科学领域:

卫生经济学卫生经济学
生物统计学生物统计学
"保险条例"中的保险条例.

背景情况:

关于风险均等公式的实证研究经常报告R平方 (R2) 值.
R2通常被隐含地解释为衡量风险平衡支付如何有效地减少可预测的利和损失的指标.
较高的R2通常被认为表明在减轻选择激励措施方面表现更好.

研究的目的:

批判性地评估R2的实用性,作为衡量风险均等的选择激励措施.
确定R2和相关的统计指标 (MAPE,CPM,PSF) 是否适用于评估风险均等模型的性能.
提供关于在风险均等研究中适当使用或省略R2的建议.

主要方法:

在风险均衡的背景下对统计措施的概念分析.
检查R2的解释性和限制,以衡量选择激励措施.
对评估风险均等化绩效的替代性或补充性方法的审查.

主要成果:

很难将R2解释为风险均等化中的选择激励措施.
当R2用于评估选择激励措施时,可能会导致错误和误导性的结论.
相关的指标,如平均绝对预测误差 (MAPE),坎明的预测指标 (CPM) 和支付系统适应性 (PSF) 具有类似的局限性.

结论:

R2 和相关的统计措施通常不适用于衡量风险均等的选择激励措施.
在这种情况下,对R2的解释是有问题的,可能导致有缺陷的政策或模型决策.
研究人员要么为R2提供明确,有效的解释,要么不要提出它,以及MAPE,CPM和PSF等相关措施.

关键词:

库明斯预测测量 (CPM) 是一个指标.医疗保险的健康保险是什么平均绝对预测误差 (MAPE) 的意思适合支付系统 (PSF) 的支付系统.R2 R2 的意思是说.风险均等化风险均等化

更多相关视频

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

An R-Based Landscape Validation of a Competing Risk Model

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

相关概念视频

Regression Toward the Mean

Regression Toward the Mean

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...

Calibration Curves: Correlation Coefficient

Calibration Curves: Correlation Coefficient

In a linear calibration curve, there is a value called the calibration coefficient, denoted by 'r,' which measures the strength and the direction of association between two variables. The correlation coefficient value ranges from −1 to +1. A value of +1 indicates a perfect positive linear correlation, −1 denotes a perfect negative correlation, and 0 implies no correlation between the two variables. A positive correlation value establishes that as one variable increases, the...

Routh-Hurwitz Criterion II

Routh-Hurwitz Criterion II

In the application of the Routh-Hurwitz criterion, two specific scenarios can arise that complicate stability analysis.
The first scenario occurs when a singular zero appears in the first column of the Routh table. This situation creates a division by zero issues. To resolve this, a small positive or negative number, denoted as epsilon (∈), is substituted for the zero. The stability analysis proceeds by assuming a sign for ∈. If ∈ is positive, any sign change in the first...

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...

Relative Risk

Relative Risk

Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...

Odds Ratio

Odds Ratio

The odds ratio (OR) is a statistical measure used extensively in epidemiology and research to quantify the strength of association between exposure and outcome across different groups. Unlike relative risk, which compares the probabilities of an event occurring, the odds ratio compares the odds of an event occurring in the exposed group to the odds of it occurring in the unexposed group. The odds, in this context, are calculated as the probability of the event happening divided by the...