基于人均指标的全球比较的谬误
Lukáš Kratochvíl1, Jan Havlíček2
1Department of Ecology, Faculty of Science, Charles University, Viničná 7, Prague 128 00, Czech Republic.
Royal Society open science
|March 21, 2024
概括
在国际比较中,人均比率往往是误导性的. 基于回归的方法为分析国家级数据提供了更准确,更易于解释的替代方案.
科学领域:
- 国际比较分析 国际比较分析
- 统计方法学的统计方法.
- 公共卫生研究 公共卫生研究
背景情况:
- 国际比较对于政策制定至关重要,通常需要对人口规模进行规范化.
- 人均比率是常见的标准化方法,但依赖于限制性假设.
- 这些假设经常被违反,导致潜在的误导性结论.
研究的目的:
- 评估人均比率与国际比较的回归方法之间的准确性.
- 为了识别人均比率计算中固有的偏差.
- 倡导在全球数据分析中采用更科学合理的方法.
主要方法:
- 对人均比率和基于回归的方法进行比较分析.
- 检查了三个全球数据集:国内生产总值,COVID-19死亡率和二氧化碳产量.
- 数据解释和偏差的统计评估.
主要成果:
- 人均比率系统地高估了人口较少的国家的价值.
- 由于分母大,人口大的国家往往显示出误导性的低人均比率.
- 偏见的人均比较在有影响力的全球报告中很普遍.
结论:
- 人均人均比率在国际比较中带来了显著的偏差,特别是对于人口规模极大的国家.
- 人均比例偏差的广泛使用可能会导致有缺陷的政策建议.
- 基于回归的方法为国际数据分析提供了更准确,更科学,更可解释的方法.
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