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

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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.