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October 12, 2025Open Access

A simulation-free extrapolation method for misspecified models with errors-in-variables in epidemiological studies

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Authors

HZHongwei ZhaoTWTianying Wang

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Overview

The proposed method finds unbiased estimators in epidemiological studies, suggesting improved accuracy in modeling measurement errors.

Key Points

  • The proposed method provides unbiased point estimation in the presence of measurement errors in epidemiological modeling.
  • Ignoring measurement errors can severely underestimate the impact of dietary factors on BMI and obesity by 30% to 60%.
  • Numerical studies across various regression models show the robustness of the flexible simulation-free extrapolation method.
  • Analysis of the Food Frequency Questionnaire data highlights the importance of addressing errors-in-variables to improve health outcomes.

Cite This Study

Zhao et al. (2025) studied this question.

synapsesocial.com/papers/68ebffcfdef9fcb308ff2638https://doi.org/10.48550/arxiv.2509.06118
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