Development and application of statistical methods for correcting systematic measurement errors in health statistics

我们研究了统计方法的发展和应用，以纠正卫生统计中的系统性测量误差，这些误差来自于对具有全国代表性的样本的调查。我们的结果表明，有必要在日本的调查中引入标准的抽样方法；可以用测量数据检测和纠正自我报告的偏差；应用统计模型有助于使用日本测量数据进行国际人口健康分析。

We studied the development and application of statistical methods for correction of systematic measurement errors in health statistics obtained from surveys on a nationally representative sample. Our results suggest that it is necessary to introduce a standard sampling method in Japanese surveys ; it is possible to detect and correct self-report bias with measured data ; and application of a statistical model helps to use Japanese measured data for international analysis on population health.